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Options Pricing & The Greeks
 
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http://optionalpha.com - Option traders often refer to the delta, gamma, vega and theta of their option position as the "Greek" which provide a way to measure the sensitivity of an option's price. However, it's important that you realize that the "Greeks" don't determine pricing, just reflect what could happen in pricing changes for moves in the stock, implied volatility, etc. ================== Listen to our #1 rated investing podcast on iTunes: http://optionalpha.com/podcast ================== Download your free copy of the "The Ultimate Options Strategy Guide" including the top 18 strategies we use each month to generate consistent income: http://optionalpha.com/ebook ================== Grab your free "7-Step Entry Checklist" PDF download today. Our step-by-step guide of the top things you need to check before making your next option trade: http://optionalpha.com/7steps ================== Have more questions? We've put together more than 114+ Questions and detailed Answers taken from our community over the last 8 years into 1 huge "Answer Vault". Download your copy here: http://optionalpha.com/answers ================== Just getting started or new to options trading? You'll love our free membership with hours of video training and courses. Grab your spot here: http://optionalpha.com/free-membership ================== Register for one of our 5-star reviewed webinars where we take you through actionable trading strategies and real-time examples: http://optionalpha.com/webinars ================== - Kirk & The Option Alpha Team
Views: 185000 Option Alpha
Implied Volatility Explained | Options Trading Concept
 
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Get one projectoption course for FREE when you open and fund your first tastyworks brokerage account with more than $2,000: https://www.projectoption.com/free-options-trading-course/ Learn More About tastyworks: https://www.projectoption.com/tastyworks/ OPEN a tastyworks Account: https://start.tastyworks.com/#/login?referralCode=PROJECTOPTION ============ Implied volatility is one of the most important concepts to understand as an options trader. Implied volatility represents the option prices on a particular stock, which is an indication of the future stock price movements that the market is expecting. Stocks with more expensive option prices have higher implied volatility, indicating larger expected price changes in the future. On the other hand, stocks with cheaper option prices have lower implied volatility, indicating smaller expected price changes in the future. Additionally, implied volatility can be used to calculate the one standard deviation expected stock price ranges over any time frame. ==== Resources ==== Our Options Trading Courses: https://www.projectoption.com/options-trading-courses/ ==== Favorite Options Trading Books ==== Option Volatility and Pricing: https://amzn.to/2SU6f8K How to Price & Trade Options: https://amzn.to/2FqsPmn
Views: 68329 projectoption
Binomial option pricing model: up/down jumps based on volatility (FRM T4-7)
 
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[here is my xls https://trtl.bz/2Ri5R7r] Instead of arbitrarily selecting the up (u) and down (d) jumps in the binomial, we can "match them to a volatility input assumption, σ. The correct values are given by u = exp[σ*sqrt(Δt)] and d = 1/u; notice that the exponent is just apply the Square Root Rule (SRR) of scaling the per annum volatility to the correct period volatility; in this example, a 30.0% per annum volatility translated into 30.0% * sqrt(0.25) = 15.0% three-month volatility. When we use these assumptions, we implicitly assume that the geometric (aka, continuous) returns are normally distributed which is tantamount to assuming the prices are lognormally distributed, and this version of the binomial (aka, Cox Ross Rubinstein) converges on the classic Black-Scholes-Merton (BSM) as the number of steps increases. Discuss this video here in our FRM forum: https://trtl.bz/2Vx7uLw.
Views: 630 Bionic Turtle
How Option Prices Drive Implied Volatility | Options Trading Concepts
 
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Implied volatility is driven by option prices, and higher implied volatilty expands the standard deviation of prices. @tastytraderMike walks you through how prices drive IV, and how IV drives standard deviation! New to options trading? Mike breaks down trading strategies and concepts in a visual way for beginner to intermediate investors. Follow: @tastytradermike ======== tastytrade.com ======== tastytrade is a real financial network, producing 8 hours of live programming every weekday, Monday - Friday. Follow along as our experts navigate the markets, provide actionable trading insights, and teach you how to trade. With over 50 original segments, and over 20 personalities, we’ll help you take your trading to the next level, whether you are new to trading or a seasoned veteran. http://ow.ly/EbzUU Subscribe to our YouTube channel: https://www.youtube.com/user/tastytrade1?sub_confirmation=1 Follow tastytrade: Twitter: https://twitter.com/tastytrade Facebook: https://www.facebook.com/tastytrade LinkedIn: http://www.linkedin.com/company/tastytrade Instagram: http://instagram.com/tastytrade
Views: 12371 tastytrade
Introduction to the Black-Scholes formula | Finance & Capital Markets | Khan Academy
 
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Created by Sal Khan. Watch the next lesson: https://www.khanacademy.org/economics-finance-domain/core-finance/derivative-securities/black-scholes/v/implied-volatility?utm_source=YT&utm_medium=Desc&utm_campaign=financeandcapitalmarkets Missed the previous lesson? Watch here: https://www.khanacademy.org/economics-finance-domain/core-finance/derivative-securities/interest-rate-swaps-tut/v/interest-rate-swap-2?utm_source=YT&utm_medium=Desc&utm_campaign=financeandcapitalmarkets Finance and capital markets on Khan Academy: Interest is the basis of modern capital markets. Depending on whether you are lending or borrowing, it can be viewed as a return on an asset (lending) or the cost of capital (borrowing). This tutorial gives an introduction to this fundamental concept, including what it means to compound. It also gives a rule of thumb that might make it easy to do some rough interest calculations in your head. About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to Khan Academy’s Finance and Capital Markets channel: https://www.youtube.com/channel/UCQ1Rt02HirUvBK2D2-ZO_2g?sub_confirmation=1 Subscribe to Khan Academy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 429672 Khan Academy
Implied volatility | Finance & Capital Markets | Khan Academy
 
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Created by Sal Khan. Missed the previous lesson? Watch here: https://www.khanacademy.org/economics-finance-domain/core-finance/derivative-securities/black-scholes/v/introduction-to-the-black-scholes-formula?utm_source=YT&utm_medium=Desc&utm_campaign=financeandcapitalmarkets Finance and capital markets on Khan Academy: Interest is the basis of modern capital markets. Depending on whether you are lending or borrowing, it can be viewed as a return on an asset (lending) or the cost of capital (borrowing). This tutorial gives an introduction to this fundamental concept, including what it means to compound. It also gives a rule of thumb that might make it easy to do some rough interest calculations in your head. About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to Khan Academy’s Finance and Capital Markets channel: https://www.youtube.com/channel/UCQ1Rt02HirUvBK2D2-ZO_2g?sub_confirmation=1 Subscribe to Khan Academy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 170276 Khan Academy
10. How to Price Options Based on Implied and Historical Volatility
 
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Try a free options trading demo account here: http://bit.ly/Q72dYG For more of our free introductory options course, go here: http://www.informedtrades.com/f115/ VIDEO NOTES Hello and welcome. In the last video, we took our first look at option pricing. In this video, we will continue with option pricing by taking a closer look at volatility. Volatility can be broken into 2 parts- Historic Volatility, and Implied Volatility. Historic Volatility is the volatility of the Periodic Daily Returns. The Periodic Daily Return is the rate that price changes each day using continuous compounding. Each day, the price of a stock is the previous day's price times e raised to some value. The value that e is raised to is the rate of change for that day, in other words, the Periodic Daily Return. Historic Volatility refers to the Standard Deviation of the Periodic Daily Returns. The standard deviation shows the rate of dispersion, or how spread out the Periodic daily Returns are from the average of all of the Periodic Daily Returns. In short, Historic Volatility is the Standard Deviation of the Periodic Daily Returns over a 1 year period. For more on this, please what my video on the Period Daily Return, and my 3 video series on the Standard Deviation. Implied volatility shows the market's opinion of the stock's potential moves, In other words, Implied Volatility shows what the market "implies" about the stock's volatility in the future. When Implied Volatility is high, then the market thinks that the stock has potential for large price movements in either direction before the option expires. When Implied Volatility is low, then the market thinks that the price of the stock will move less by option expiration. Implied Volatility is affected by things like upcoming earnings reports, and upcoming economic announcements. For instance, in the days leading up to an earnings report, Implied Volatility will increase due to the uncertainty of what the results of the report will be, and after the earnings are announced and the results are known, Implied Volatility will decrease. Volatility is the largest factor in determining option pricing. Let's say that there are two stocks that are both priced $10 per share. One of these stocks goes up and down about 1% or 10 cents each day, and the other stock goes up and down about 3% or 30 cents each day. Let's say that a trader buys $12 Call Options on both stocks. This locks in a pre-set buy price of $12, so this trader is hoping that both stocks rise above $12 before the options expire. The stock that moves around 3% each day on average has a better chance of rising over $12 than the stock that only moves 1% each day on average. Therefore, the option for the stock that moves 3% a day will be priced much higher than the option for the stock that only moves 1% a day. In other words, the higher the volatility, the more the cost of the option. Volatility is used to form a range around the expected path for price to create a continuous range of probability for what the actual rate of change in price will be. By combining some basic assumptions about the markets with some basic laws and theories of statistics, we can develop an expected path for price. In other words, we can determine the path for price that has the greatest odds of occurring. Even though we know price probably will not follow that path, it is the path that has a better chance of occurring that any other path. Therefore, we call it the expected path for price. We can take that expected path of price along the volatility, and form what is known as a probability distribution of what the future path of price will be. In other words, we take the expected path of price, and the volatility, and form a range around the expected path that tells us the probability or odds of any path occurring. We can use this to determine the probability of what the future price will be, not only for pricing options, but also for things like Monte Carlo Simulation, which is used to determine possible future outcomes of price, and Value At Risk, which is used to determine things like expected maximum risk of loss. In the last video, I mentioned that option pricing only has 5 inputs or 6 if the stock pays a dividend. The Strike Price is fixed, but the stock price, the volatility, and the amount of time left until the option expires are constantly changing, and interest rates may change at any time. As these values change, they affect the price of the option. In the next video, we will begin to look at how these changing values affect an option's price by taking our first look at the Greeks. See you then.
Views: 21759 InformedTrades
Equity Option Implied Volatility Analytics with Python - PyData Singapore
 
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Speaker: Jason Strimpel (@JasonStrimpel) Python has become an increasingly important tool in the domain of quantitative and algorithmic trading and research. This extends from senior quantitative analysts pricing complex derivatives using numerical techniques all the way to the retail trader using closed form valuation methods and analysis techniques. This talk will focus on the uses of Python in discovering unobserved features of listed equity options. The Black-Scholes option pricing formula was first published in 1973 in a paper called "The Pricing of Options and Corporate Liabilities". In that paper Fischer Black and Myron Scholes derived an equation which estimates the price of an option over time. This formula and its associated "greeks" have become ubiquitous in options trading. In this talk, we'll demonstrate how to gather options data using the Pandas module and apply various transformations to obtain the theoretical value of the option and the associated greeks. We'll then extend the talk to discuss implied volatility and show how to use Numpy methods to compute implied volatility. We'll use the results to visualize the so-called volatility skew and term structure to help inform potential trading decisions. Event Page: http://www.meetup.com/PyData-SG/events/226837711/ Produced by Engineers.SG Help us caption & translate this video! http://amara.org/v/WCeb/
Views: 3508 Engineers.SG
Advanced Option Pricing: Stochastic Underlying Asset Volatility with the Heston Model
 
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This video demonstrates my Matlab implementation of Monte-Carlo simulation used to price options on equities while accounting for non-constant volatility, specifically stochastic mean reverting volatility as per the Heston model. I am happy to connect with other financial professionals and recruiters on LinkedIn. You can find my profile here: https://www.linkedin.com/in/alex-ockenden-81756aa1
Views: 3014 Alexander Ockenden
20. Option Price and Probability Duality
 
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MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013 View the complete course: http://ocw.mit.edu/18-S096F13 Instructor: Stephen Blythe This guest lecture focuses on option price and probability duality. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 43961 MIT OpenCourseWare
Zecco Options Education - Implied Volatility
 
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Just what is implied volatility? Find out how this important data is derived from the Black-Scholes options pricing model, and how implied volatility can impact the prices of call and put options.
Views: 4686 Zecco
FRM: Implied volatility
 
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Using the market price for an option on Google's stock, I use Excel's GOAL SEEK function to estimate implied volatility. Implied volatility is a reverse-engineering exercise: we find the volatility that produces a MODEL VALUE = MARKET PRICE. For more financial risk videos, visit our website! http://www.bionicturtle.com
Views: 77707 Bionic Turtle
Volatility Calculation - The best way to understand Historical Volatility
 
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What is Options, Uderstanding of Options Strategies, Options Pricing Model, Spot Price, Strike Price, Time to Maturity, Annual Volatility, Rate of Interest, Implied Volatility, Bull Call Spread, Bull Put Spread, How to make Options Strategies, In the Money Option, At the Money Option, Out of the money Option, Low Volatility Vs High Volatilty, How to learn Option Strategy, Delta, Gamma, Vega, Theta, Rho Hope you will like this. Please dont forget to subscribe our You Tube Channel. We love to see your comments. FinIdeas on Social Networks : Website : www.finideas.com E-mail : [email protected] Facebook : www.facebook.com/finideas Blog : http://finideasmspl.blogspot.in/ Youtube : www.youtube.com/finideas Twitter : www.twitter.com/finideas Contact us : 09374985600 || 09375204812
Views: 3245 Finideas Sol
The Volatility Smile - Options Trading Lessons
 
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The volatility smile is a real-life pattern that is observed when different strikes of option, with the same underlying and same expiration date are plotted on a graph. Buy The Book Here: https://amzn.to/2CLG5y2 Follow Patrick on Twitter Here: https://twitter.com/PatrickEBoyle Volatility smiles are implied volatility patterns that arise in pricing financial options. It corresponds to finding one single parameter (implied volatility) that is needed to be modified for the Black-Scholes formula to fit market prices. In particular for a given expiration, options whose strike price differs substantially from the underlying asset's price command higher prices (and thus implied volatilities) than what is suggested by standard option pricing models. These options are said to be either deep in-the-money or out-of-the-money. Graphing implied volatilities against strike prices for a given expiry yields a skewed "smile" instead of the expected flat surface. The pattern differs across various markets. Equity options traded in American markets did not show a volatility smile before the Crash of 1987 but began showing one afterwards. It is believed that investor reassessments of the probabilities of fat-tail have led to higher prices for out-of-the-money options. This anomaly implies deficiencies in the standard Black-Scholes option pricing model which assumes constant volatility and log-normal distributions of underlying asset returns. Empirical asset returns distributions, however, tend to exhibit fat-tails (kurtosis) and skew. Modelling the volatility smile is an active area of research in quantitative finance, and better pricing models such as the stochastic volatility model partially address this issue. A related concept is that of term structure of volatility, which describes how (implied) volatility differs for related options with different maturities. We will be learning about that in tomorrows video. An implied volatility surface is a 3-D plot that plots volatility smile and term structure of volatility in a consolidated three-dimensional surface for all options on a given underlying asset.
Views: 269 Patrick Boyle
FRM: Using Excel to calculate Black-Scholes-Merton option price
 
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This is Black-Scholes for a European-style call option. You can download the XLS @ this forum thread on our website at http://www.bionicturtle.com.
Views: 155012 Bionic Turtle
Black-Scholes options pricing, volatility defined
 
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Lecture 23: Carter introduces the Black-Scholes options pricing formula through conceptual discussion and trading examples. Historical and implied volatility are defined.
Views: 99 UC Davis Academics
Option Price Calculator | How to find the implied volatility?
 
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How do you find out the implied volatility for your option pricing model? Here's the answer.
Views: 14 X Trading
Advanced Option Trading: Jump Diffusion Models of Stock Price Behavior
 
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Tom Sosnoff, Tony Battista, and Jacob Perlman discuss a model that can be used in option pricing formulas to try to account for the volatility skew, which pushes the prices of OTM options higher. Catch Jacob, our in-studio Math Wizard, every Thursday live at 9am CT: only at https://tastytrade.com/tt/live
Views: 5980 tastytrade
FRM: Implied volatility smile
 
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A plot of implied volatility (i.e., the volatility that forces the BSM model option price to equal the observed market price) against strike price. The smile is proof the model is imprecise (incorrect in some assumption); e.g., returns are not lognormally distributed. For more financial risk videos, visit our website! http://www.bionicturtle.com
Views: 41104 Bionic Turtle
FinShiksha - Option Pricing - Binomial Model
 
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This video is a part of our course on Certification in Applied Derivatives (https://finshiksha.com/courses/certification-in-applied-derivatives/), and talks about the Binomial Model of Option Pricing.
Views: 491 FinShiksha
Pricing an American Option: 3 Period Binomial Tree Model
 
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We price an American put option using 3 period binomial tree model. We cover the methdology of working backwards through the tree to price the option in multi-period binomial framework. Empahsis is also placed on early exercise feature of American option and it's significance in pricing. Although not a prerequisite, viewers can look at the tutorial on risk neutral valuation in binomial model for understanding how to calculate risk neutral probability of stock price going up.
Views: 77406 finCampus Lecture Hall
Options Pricing: Black Scholes Model part 1
 
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Pricing Options using Black-Scholes Model, part 1 contain calculation on excel using data from NSE and part 2 explains how to use goal seek function to get implied volatility.
Black-Scholes Option Pricing Model -- Intro and Call Example
 
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Introduces the Black-Scholes Option Pricing Model and walks through an example of using the BS OPM to find the value of a call. Supplemental files (Standard Normal Distribution Table, BS OPM Formulas, and BS OPM Spreadsheet) are provided with links to the files in Google Documents. tinyurl.com/Bracker-StNormTable tinyurl.com/Bracker-BSOPM tinyurl.com/Bracker-BSOPMspread
Views: 243104 Kevin Bracker
Implied Volatility Formula and How Option Volatility and Pricing Affects Contract Value
 
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Implied volatility formula video you'll learn how option volatility and pricing affects the value of options contracts. 📚 Take our FREE options course here: https://bullishbears.com/options-trading-course/ 🔔 Members - we post our daily trade alert setups here: https://bullishbears.com/trading-alerts/ 🎈 Start your 14-day free trial with our trading community here: https://bullishbears.com/stock-market-trading/ 📺 Watch the video above and learn: 📖 What is implied volatility options 📖 How to use implied volatility calculator 📖 How to use it to choose the right trading strategy (Read More: https://bullishbears.com/implied-volatility-formula/) 📺 Watch our options playlist: https://www.youtube.com/playlist?list=PLFsRFWsq5EdYxBYeWOjjfJW9UpvW8RI-e 💲 Here’s What You’ll Receive as a Member of Our Trading Community: ✅ Receive our e-book on how to trade candlesticks patterns ✅ Receive our beautiful custom-made candlesticks desktop wallpaper backgrounds ✅ Access to our informative and fun Facebook trading community of over 35,000+ members ✅ Access to our free stock trading courses ($3,000+ value) ✅ Daily day trade and swing trade watch lists ✅ Daily day trade and swing trade alert setups ✅ Updated morning watch lists with detailed analysis of trade setups ✅ Access to our live day trading room open 24/7/365 ✅ Access to our live swing trading and futures room open 24/7/365 ✅ See our Trade Ideas day trade scanner Monday-Friday ($120+ monthly value) ✅ Real-time live streaming where we share live charts, technical analysis, trade setups and more ✅ Our commitment to you as a trader. We are here to help you learn to trade! 👍 Follow Us: 👉 Like & follow our fan page for market updates: https://www.facebook.com/bullishbearstrading/ 👉 Watch us on YouTube and accelerate your learning: https://www.youtube.com/c/bullishbearstrading 👉 Follow us on Twitter for charts, analysis and knowledge: https://twitter.com/bullishbrs 👉 Follow us on Instagram for life, charts and memes: https://www.instagram.com/bullishbears/ 😃 Bullish Bears Story: Tim, Dan, and Lucien are the founders of the Bullish Bears trading community. We like to think of ourselves as the “pay it forward” movement within the stock market because we hold nothing back in our community. 👀 See what people say about us here: https://www.facebook.com/pg/bullishbearstrading/reviews We aren’t “stock pumpers” that try to fill our brokerage accounts off our members. You won’t see us pumping and dumping stocks and then claiming to be hot shot traders by selling shares when you’re buying. Instead you’ll see us charting, teaching, mentoring, and answering questions daily in our live trade rooms where we don’t hold back the “trading secrets”. We make trading affordable for the everyday trader. What you see is what you get in our community. We won’t pitch you some false traders’ lifestyle. We don’t show pictures of us in front of luxury cars, private jets, or vacationing in Bali because that’s not our style. That’s not why we are here. Our #1 focus is on YOU and not on us. Hope is Real within our community. We have a passion and desire to help our members succeed in the stock market with a level playing field. If we sound like the trading community for you then come and check us out. 🎈 Start your 14-day free trial with our trading community here: https://bullishbears.com/stock-market-trading/ 😍 Love ya peeps, Tim, Dan, Lucien & the Rest of the Bullish Bears Team Related Searches: Implied volatility calculator, implied volatility example, implied volatility definition, implied volatility options
Views: 4136 Bullish Bears
2015 - FRM : The Black-Scholes-Merton Model Part I (of 2)
 
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FinTree website link: http://www.fintreeindia.com This series of videos discusses the following key points: 1) Lognormal property of stock prices, the distribution of rates of return, and the calculation of expected return. 2) Realized return and historical volatility of a stock. 3) Assumptions underlying the Black- Scholes -Merton option pricing model. 4) Value of a European option using the Black- Scholes -Merton model on a non-dividend-paying stock. 5) Complications involving the valuation of warrants. 6) Implied volatilities and describe how to compute implied volatilities from market prices of options using the Black- Scholes -Merton model. 7) How dividends affect the early decision for American call and put options. 8) Value of a European option using the Black- Scholes -Merton model on a dividend-paying stock. 9) Use of Black's Approximation in calculating the value of an American call option on a dividend-paying stock. FB Page link :http://www.facebook.com/Fin... We love what we do, and we make awesome video lectures for CFA and FRM exams. Our Video Lectures are comprehensive, easy to understand and most importantly, fun to study with! This Video lecture was recorded by our popular trainer for CFA, Mr. Utkarsh Jain, during one of his live CFA Level I Classes in Pune (India). #CFA #FinTree
Black Scholes Options Pricing Model (BSOPM)
 
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@ Members :: This Video would let you know about parameters of Black Scholes Options Pricing Model (BSOPM) like Stock Price , Strike Price , Time to Maturity , Volatility ( Implied Volatility ) and Risk Free Interest Rates. You are most welcome to connect with us at 91-9899242978 (Handheld) , Skype ~Rahul5327 , Twitter @ Rahulmagan8 , [email protected] , [email protected] or visit our website - www.treasuryconsulting.in
Basics of Options Pricing: How are Options Priced? ✅
 
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Basics of Options Pricing http://www.financial-spread-betting.com/ PLEASE LIKE AND SHARE THIS VIDEO SO WE CAN DO MORE! Options pricing can be pretty complicated; you have the Black-Scholes formula, you have those big derivative based equations but as traders we just want to break down into the big fundamentals basics so we can the major components that effects the options price we are trading. We have 2 components to an options price 1) We have the intrinsic value; intrinsic value is the profit that is built into the option already. So for instance if you have bought a $50 put option (bearish view) and the stock is trading at $40, that option already has $10 worth of value. So the instrinsic value of that is $10. 2) We have the extrinsic value. Extrinsic value (also known as time value or premium) is where the intricacies start. The premium consists of the time to expiry and implied volatility. As time increases so does the extrinsic value as the longer the time to expiry the larger the likelihood of bigger moves. Implied volatility is how volatile people perceive the stock price to be in the future. What are the options for time-value decay, and how can a trader benefit from it? The price of an option is the intrinsic value plus time value. For example a 95 call with the asset at 100 and a call price of $6.50 - (5.00 intrinsic) = $1.50 time value. On expiration day, with no time left. The time value will be zero. But the time value will not decay in linear fashion, there is slope. Most often you will find time decay (theta) will increase rapidly after 18–22 days to expiration. How does volatility work for an option buyer? Volatility (in annualized percentage form) is one of the variables for the black-schole option price ‘model’. It is used to price options to get an estimate of probability of a range of outcomes at expiration. Volatility measure the magnitude of price changes. Without regard for direction. Once an option trades and is active and price is put into the BSM model and the Implied volatility is calculated. Implied volatility its the markets expectations of the magnitude of price changes in the future. How is implied volatility different from historical volatility? Historical volatility is the standard deviation of price returns of the underlying asset (on which the option is based) has traded IN THE PAST. The number is expressed as an annual percentage number. Historical volatility tells us about the past. it is the annulled standard deviation of stock returns through the last sale or closing price. Implied volatility is the volatility (same as historical - standard deviation per annum) is the volatility implied by the price of the option. It is the market's expectation of the volatility of the underlying asset from “today” until the expiration date of the option. So historical tell us about the past, implied tells us about the future. Complete Options Trading Course Check the rest of the videos on our Options Trading videos playlist at https://www.youtube.com/watch?v=43bk2a6CPr8&list=PLnSelbHUB6GQJHlFjss97-zlhYi_ndq9K
Views: 874 UKspreadbetting
Sheldon Natenberg - Author, Option Volatility and Pricing, Interviewed on tastytrade..
 
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Sheldon Natenberg, legendary author and head educator at Chicago Trading Company, discusses volatility, arbitrage and options trading with Tom Sosnoff and Tony Battista. The guys discuss volatility and its impact on Option Prices. Watch a REAL Financial Network, live everyday from 7am-3pm CT at https://tastytrade.com/tt/live
Views: 20474 tastytrade
Introduction to Options Pricing
 
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An introduction into option pricing. Understanding how option pricing works and the components that determine an option price. For more information visit www.tradesmartu.com
Views: 23254 TradeSmart University
Black-Scholes Option Pricing Model Spreadsheet
 
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A walkthrough of the Black Scholes Option Pricing Model on a Spreadsheet. Spreadsheet file is linked and available in Google Docs. Link for video is tinyurl.com/Bracker-BSOPMSpread
Views: 37421 Kevin Bracker
Using Implied Volatility to Improve Your Options Trading
 
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How Volatillity Impacts Options Pricing by The Options Industry Council (OIC) For The Full Managing Volatillity Series click here https://goo.gl/0D5Bgv Implied volatility is a key part of every option position, and one that all investors should understand. In this 60 minute webinar, we analyze how implied volatility affects your position when the underlying stock soars, falls or goes sideways – and offer ideas for how you can use it to your advantage in the future. About the series: Learn how volatillity can impact your options positions
Option Strategy Builder Excel VBA Demo
 
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Excel VBA macro/program I wrote to build option strategies using either real time market data or made up scenarios. If you choose to use a certain stock, it will download the historical prices and calculate the volatility of returns for use in Black-Scholes and Cox-Ross-Rubenstein option pricing equations, as well as pull the dividend yields from online. If you choose to make your own hypothetical situation, you have the choice of entering this data from your own data set, or not using any pricing model inputs at all. Not intended for use in real trading, but a piece of software that is extremely useful in learning about options. Currently, I am working on adding parts to pull the option prices and risk-free rate from online in order to make it the most user-friendly and easy to use as possible. While I want to maximize the capabilities of this program, I do always intend to keep the bare elements of it where originally you simply enter which type of option it is, short or long, the strike price, current spot price, premium, and quantity with no regard for time, interest rates, volatility, or dividend yields. Under this original framework, it was extremely simple (as it still is since you can still get to this simple framework by clicking "Don't include stock data" and "Don't include Greeks") to model option strategies to learn about things like "what does the payoff chart of a straddle look like?"
Views: 5116 Brian Glueck
3 3 Heston Model
 
07:22
https://h5bedi.github.io/DataAndCode/Code/Heston-Model
Views: 8727 Quant Education
Options Trading: Understanding Option Prices
 
07:32
www.skyviewtrading.com Options are priced based on three elements of the underlying stock. 1. Time 2. Price 3. Volatility Watch this video to fully understand each of these three elements that make up option prices. Adam Thomas www.skyviewtrading.com what are options option pricing how to trade options option trading basics options explanation stock options
Views: 1368657 Sky View Trading
FRM: Binomial (one step) for option price
 
06:53
The binomial solves for the price of an option by creating a riskless portfolio. For more financial risk videos, visit our website! http://www.bionicturtle.com
Views: 150487 Bionic Turtle
Meaning & Importance of Implied Volatility IV in Options Derivatives Market
 
04:22
What is Options, Uderstanding of Options Strategies, Options Pricing Model, Spot Price, Strike Price, Time to Maturity, Annual Volatility, Rate of Interest, Implied Volatility, Bull Call Spread, Bull Put Spread, How to make Options Strategies, In the Money Option, At the Money Option, Out of the money Option, Low Volatility Vs High Volatilty, How to learn Option Strategy, Delta, Gamma, Vega, Theta, Rho Hope you will like this. Please dont forget to subscribe our You Tube Channel. We love to see your comments. FinIdeas on Social Networks : Website : www.finideas.com E-mail : [email protected] Facebook : www.facebook.com/finideas Blog : http://finideasmspl.blogspot.in/ Youtube : www.youtube.com/finideas Twitter : www.twitter.com/finideas Contact us : 09374985600 || 09375204812
Views: 12373 Finideas Sol
Black Scholes Option Pricing Model
 
10:51
ZACH DE GREGORIO, CPA www.WolvesAndFinance.com This video discusses the Black-Scholes Option Pricing Model. This math formula was first published in 1973 by Fischer Black and Myron Scholes. They received the Nobel Prize in 1997 for their work. This equation calculates out the value of the right to enter into a transaction. The math is complicated, but the concept is simple. It is based on the idea that the higher the risk, the higher the return. So the value of an option is based on the riskiness of the payout. If a payout is uncertain, you would be willing to pay less money. The way the Black-Scholes equation works is with five main variables: volatility, time, current price, exercise price, and risk free rate. Each variable has some level of risk associated with it which drives the value of the option. By entering in your assumptions, it calculates a value. Calculators are available online for this equation. This video shows an example with actual numbers. You can understand the variable sensitivity by creating a table. You can change the value of the current price while keeping the other variables the same. Neither Zach De Gregorio or Wolves and Finance Inc. shall be liable for any damages related to information in this video. It is recommended you contact a CPA in your area for business advice.
Views: 2250 WolvesAndFinance
Pricing Options via Fourier Inversion & Simulation of Stochastic Volatility Models - Roger Lord
 
13:48
Full workshop available at www.quantshub.com Presenter: Roger Lord: Head of Quantitative Analytics, Cardano Within this workshop we will explore two topics that are important to the modern day pricing of derivatives - the Monte Carlo simulation of stochastic volatility models, as well as how to price options by using Fourier inversion techniques. The first part of the workshop will focus on techniques to efficiently simulate stochastic volatility models such as Heston, Schöbel-Zhu and SABR. Pitfalls of using too simple methods are shown, and lessons are learned from more sophisticated methods that are applicable in a wide variety of stochastic volatility models. The second part will be focussed on the usage of Fourier inversion techniques to price options. Since the characteristic function of many, typically affine, models can be expressed in closed-form, one can price vanilla options by means of Fourier inversion. We will show how to derive the characteristic function of such models, and focus on how to compute these efficiently by means of choosing an optimal contour, or via control variates. An overview of stochastic volatility models (e.g. Heston, Schöbel-Zhu, SABR) Pitfalls using Euler or higher-order schemes Leaking correlation Moment-matching schemes Derivation of characteristic function in affine models Option pricing using Fourier inversion Caveats using complex logarithms Choosing the optimal dampening coefficient Usage of control variates
Views: 2324 Quants Hub
Options Strategies when Volatility is High - Hindi
 
10:28
What is Options, Uderstanding of Options Strategies, Options Pricing Model, Spot Price, Strike Price, Time to Maturity, Annual Volatility, Rate of Interest, Implied Volatility, Bull Call Spread, Bull Put Spread, How to make Options Strategies, In the Money Option, At the Money Option, Out of the money Option, Low Volatility Vs High Volatilty, How to learn Option Strategy, Delta, Gamma, Vega, Theta, Rho Hope you will like this. Please dont forget to subscribe our You Tube Channel. We love to see your comments. FinIdeas on Social Networks : Website : www.finideas.com E-mail : [email protected] Facebook : www.facebook.com/finideas Blog : http://finideasmspl.blogspot.in/ Youtube : www.youtube.com/finideas Twitter : www.twitter.com/finideas Contact us : 09374985600 || 09375204812
Views: 12608 Finideas Sol
Implied Volatility Skew & Three Things it Can Tell You
 
16:40
Get one projectoption course for FREE when you open and fund your first tastyworks brokerage account with more than $2,000: https://www.projectoption.com/free-options-trading-course/ Learn More About tastyworks: https://www.projectoption.com/tastyworks/ OPEN a tastyworks Account: https://start.tastyworks.com/#/login?referralCode=PROJECTOPTION ============ Implied volatility represents the overall option prices on a particular stock. However, each option has its own unique price, and therefore its own implied volatility. Volatility skew refers to the inequality of out-of-the-money call and out-of-the-money put implied volatilities. In this video, you'll learn: 1. What implied volatility skew is 2. Which products tend to have upside or downside volatility skew 3. Three helpful pieces of information volatility skew can tell us You'll also see some examples and visualizations to help you understand implied volatility skew. ==== RESOURCES ==== Trade with tastyworks (& Get a Free Course): https://www.projectoption.com/tastyworks/ Our Options Trading Courses: https://www.projectoption.com/options-trading-courses/ ==== FAVORITE OPTIONS TRADING BOOKS ==== How to Price & Trade Options: https://amzn.to/2FqsPmn Option Volatility and Pricing: https://amzn.to/2SU6f8K
Views: 18603 projectoption
Option Chain Analysis - Put Call Ratio - Implied Volatility - Open Interest Analysis 🔥🔥
 
31:15
Option Chain Analysis - Put Call Ratio, Implied Volatility & Open Interest Analysis - Option Chain, Put Call Ratio & Implied Volatility explained in this Option trading strategies for beginners video. In this Options trading strategies video, I discuss about Option Chain Analysis where I show how Open Interest Analysis, Put Call Ratio and Implied Volatility come together to form a holistic framework for options trading. I have begun this video by explaining basics of put call ratio and implied volatility through Option Chain. I have shown how put call ratio links up with open interest and how implied volatility relates with open interest analysis. Put call ratio can be used as confirmation and contrarian indicator and this remains one of the most popular derivative indicator in Options Trading. I have pointed out free resources to acquire Put Call Ratio data and data on Implied Volatility. Link to the free websites is given in the Options trading video. Put call ratio can be obtained from NSE website whereas data on Implied volatility has to be manually maintained. It is important for you to have data on Put call Ratio, Implied Volatility and Open Interest for thorough Option Chain Analysis. I have taken up same example as I took in Open Interest analysis video and shown how Put call ratio and Implied Volatility from option chain can help you point out details about Market movement. I have reasoned why it is important to combine Open Interest Analysis, Put Call Ratio and Implied Volatility to analyse entire Option chain better. Towards the end I have given out 8 rules which link Open Interest Analysis, Implied Volatility, Put Call ratio and Price analysis together to form basics of Options Trading and Option Chain Analysis. Do watch the video on Open Interest Analysis and Option Chain Analysis which was released few days earlier. Concepts discussed here can be applied for Nifty option chain analysis and Bank Nifty Option chain analysis. Link to Other Trading Options videos is given below. Entire series is structure around how to trade options and it has various options trading strategies for beginners. *********** 🔥 Options Trading Strategies - Option Trading For Beginners Part 1 - https://www.youtube.com/watch?v=mNHXZlKSUgo 🔥 Options Trading Strategies - Long Call Strategy Part 2 - https://www.youtube.com/watch?v=WsLLG1h7Aiw 🔥 Options Trading Strategies - Truth About Selling Options Part 3 - https://www.youtube.com/watch?v=RtnO7rw7wbA 🔥 Options Trading Strategies - Covered Call Writing Part 4 - https://www.youtube.com/watch?v=N2Krdczwr_I 🔥 Options Trading Strategies - Bank Nifty Covered Call Writing Part 5 - https://www.youtube.com/watch?v=wgCMUdhh-yM 🔥 Options Trading Strategies - Bull Call Spread Part 6 - https://www.youtube.com/watch?v=8i4_98yF-s4 🔥 Options Trading Strategies - Call Ratio BackSpread Strategy Part 7 - https://www.youtube.com/watch?v=uWtKEOLALsg 🔥 Option Trading Strategies - Straddle Option Trading Strategy Part 8 - https://www.youtube.com/watch?v=g23UKRwm-sM 🔥 Option Trading Strategies - Option Chain Open Interest Analysis Part 9 - https://www.youtube.com/watch?v=eOBndPzxb2A *********** Indian Stock Market Analysis Video is released every Friday 7 Pm IST *********** Thank You for Visiting Trade With Trend Channel ***********
Views: 20376 Trade With Trend
How to Model Option Implied Volatility | Trading Data Science
 
22:33
How often do stocks actually fall within expected range? See more options trading videos: http://ow.ly/MZDKN Today, Tom Sosnoff and Tony Battista are joined by Mike "Dr. Data" Rechenthin, PhD from the Research Team as he explains how fear in the market often causes options to become overpriced, thus causing the stock's expected move to exaggerate the actual price move. Using the formulas from our last "Skinny on Data Science", Dr. Data creates a large backtest to determine how often stocks actually fall within the expected range. The results confirm our strategy of selling premium and explains why it provides us with an edge. Math is the most feared four-lettered word around, even to Tom and Tony. Luckily the well dressed Dr. Data is here to show how to tame the beast and even use it to make money. Check out his segments on analysis and data manipulation to understand the reasoning behind our trades. You can watch a new Skinny on Options Data Science episode live and check out all previous episodes everyday at http://ow.ly/EoyGW! ======== tastytrade.com ======== Finally a financial network for traders, built by traders. Hosted by Tom Sosnoff and Tony Battista, tastytrade is a real financial network with 8 hours of live programming five days a week during market hours. From pop culture to advanced investment strategies, tastytrade has a broad spectrum of content for viewers of all kinds! Tune in and learn how to trade options successfully and make the most of your investments! Plus, access our visual trading platform, dough, to learn the basics of options trading and manage your portfolio! With hours of tutorial videos and unique tools on a simple, easy-to-use trading interface, dough.com is here to make learning how to trade options fun! Subscribe to our YouTube channel: http://goo.gl/s2bAxF Watch tastytrade LIVE daily Monday-Friday 7am-3:15pmCT: https://goo.gl/OTv3Ez Follow tastytrade: Twitter: https://twitter.com/tastytrade Facebook: https://www.facebook.com/tastytrade LinkedIn: http://www.linkedin.com/company/tastytrade Instagram: http://instagram.com/tastytrade Pinterest: http://www.pinterest.com/tastytrade/
Views: 7123 tastytrade
Black Scholes: A Simple Explanation
 
13:37
Join us in the discussion on InformedTrades: http://www.informedtrades.com/1087607-black-scholes-n-d2-explained.html In this video, I give a general overview of the Black Scholes formula, and then break down N(d2) in detail. I cover most of the entire formula in this video. My goal is to describe Black Scholes in a simple, easy to understand way that has never been done before. Because this parts of the formula are somewhat complicated, I repeat parts several times during this video. See our other videos on Black Scholes: http://www.informedtrades.com/tags/black%20scholes/ Practice trading options with a free options trading demo account: http://bit.ly/apextrader
Views: 144523 InformedTrades
Implied Volatility: Historic vs. Implied  | Options Trading Concepts
 
12:56
**A 1:40 Mike states in an example that "implied volatility would have overstated historical volatility" - he meant to say "implied volatility would have UNDERSTATED historical volatility" in this example** Implied volatility expresses the perceived risk based on option prices, but is it accurate? Mike walks through the historical comparison of realized volatility vs implied volatility, and why premium sellers are generally paid more than they should be paid based on the statistics. New to options trading? Mike breaks down trading strategies and concepts in a visual way for beginner to intermediate investors. Follow: @tastytradermike ======== tastytrade.com ======== tastytrade is a real financial network, producing 8 hours of live programming every weekday, Monday - Friday. Follow along as our experts navigate the markets, provide actionable trading insights, and teach you how to trade. With over 50 original segments, and over 20 personalities, we’ll help you take your trading to the next level, whether you are new to trading or a seasoned veteran. http://ow.ly/EbzUU Subscribe to our YouTube channel: https://www.youtube.com/user/tastytrade1?sub_confirmation=1 Follow tastytrade: Twitter: https://twitter.com/tastytrade Facebook: https://www.facebook.com/tastytrade LinkedIn: http://www.linkedin.com/company/tastytrade Instagram: http://instagram.com/tastytrade
Views: 14467 tastytrade
Black-Scholes Model on Excel for Option Pricing
 
13:27
This video shows how to calculate call and put option prices on excel, based on Black-Scholes Model.
Views: 10574 Mehmet Akgun
Black-Scholes Option Pricing Model Put
 
06:25
A continuation of the Black-Scholes Option Pricing Model with the focus on the put option. Templates available at: tinyurl.com/Bracker-StNormTable tinyurl.com/Bracker-BSOPM tinyurl.com/Bracker-BSOPMSpread
Views: 33124 Kevin Bracker
Introduction to binomial option pricing model: two-step (FRM T4-6)
 
23:25
[my xls is here https://trtl.bz/2AruFiH] The binomial option pricing model needs: 1. A set of assumptions similar but not identical to those found in Black-Scholes; 2. A framework; i.e., risk-neutral valuation which allows us to infer the probability of an up-jump; 3. An assumption about asset dynamics, in this case that arithmetic returns are normally distributed; and 4. A valuation process which is two steps: FORWARD simulation produces terminal asset prices, then BACKWARD induction which returns the option price based on a series of discounted expected values. Discuss this video here in our FRM forum: https://trtl.bz/30qCfFL.
Views: 1448 Bionic Turtle
17. Options Markets
 
01:11:57
Financial Markets (2011) (ECON 252) After introducing the core terms and main ideas of options in the beginning of the lecture, Professor Shiller emphasizes two purposes of options, a theoretical and a behavioral purpose. Subsequently, he provides a graphical representation for the value of a call and a put option, and, in this context, addresses the put-call parity for European options. Within the framework of the Binomial Asset Pricing model, he derives the value of a call-option from the no-arbitrage-principle, and, as a continuous-time analogue to this formula, he presents the Black-Scholes Option Pricing formula. He contrasts implied volatility, as represented by the VIX index of the Chicago Board Options Exchange, which uses a different formula in the spirit of Black-Scholes, with the actual S&P Composite volatility from 1986 until 2010. Professor Shiller concludes the lecture with some thoughts about options on single-family homes that he launched with his colleagues of the Chicago Mercantile Exchange in 2006. 00:00 - Chapter 1. Examples of Options Markets and Core Terms 07:11 - Chapter 2. Purposes of Option Contracts 17:11 - Chapter 3. Quoted Prices of Options and the Role of Derivatives Markets 24:54 - Chapter 4. Call and Put Options and the Put-Call Parity 34:56 - Chapter 5. Boundaries on the Price of a Call Option 39:07 - Chapter 6. Pricing Options with the Binomial Asset Pricing Model 51:02 - Chapter 7. The Black-Scholes Option Pricing Formula 55:49 - Chapter 8. Implied Volatility - The VIX Index in Comparison to Actual Market Volatility 01:09:33 - Chapter 9. The Potential for Options in the Housing Market Complete course materials are available at the Yale Online website: online.yale.edu This course was recorded in Spring 2011.
Views: 123917 YaleCourses
Implied vs Historical Volatility [Options Trading Strategies]
 
56:16
Subscribe to our channel to learn more about options trading strategies: bit.ly/2RmCiSg. Visit http://www.OptionsEducation.org for more free online courses, podcasts, videos and webinars taught by options experts. Contact our Investor Services team for help on your options questions and continued education at [email protected] Receive expert insight on your risk mitigation questions. Do you have a volatility position when you initiate an options trade? The answer is ""Yes"". Learn about what options strategies you may want to consider when volatility is increasing or decreasing. Join the Options Industry Council (OIC) for a discussion which will define the risk profiles of various volatility positions and provide specific examples. To learn more option trading strategies, register for interactive assignments with MyPath online. Study at your own pace and based on your own skill level : https://www.optionseducation.org/theoptionseducationprogram/mypath Options Volatility Video Checkpoints: (4:24)- Volatility as an option risk, premium review, trends and pricing factors (7:00)- Historical volatility: higher vs lower values and where to find them (9:45)- Where to find vega (12:57)- Historic volatility: effect on prices (13:38)- Implied volatility: option chains and effects on prices (20:18)- Volatility vs buyers and sellers (20:55)- Implied vs historical volatility (31:57)- Using implied volatility (37:25)- Implied effects: strategies when up and down For daily options insight and more great content, follow us on our social media channels: Twitter: @Options_Edu LinkedIn: https://www.linkedin.com/showcase/the-options-industry-council-oic-/ Facebook: https://www.facebook.com/OptionsIndustryCouncil "
Derivatives Topic 4: The Black-Scholes Option Pricing Model (Part II)
 
01:36:06
Modelling Stock Price Behaviour Partial Derivation of the Black-Scholes Differential Equation Calculating Using the B-S Model American Options and Dividends Estimating Volatility Put Option Pricing The Greeks