2015 Club Plans

Hello all members!

Please read the following blog article carefully as this will provide a plan for the club’s activities next year.

Topics: There is clearly an issue as to what we should be studying next year. Some members will be going through the club a second time, while others will be novices. Therefore, we will either split the club into two sections, one of which will be led by a lower officer and one that will be led by me, or we could start learning about more advanced topics and assign the previous meetings as homework.

Trading (President only): We will be discontinuing our paper trading challenge. However, we will probably start a real money trading project, which will involve solely the President. Only certain officers will be able to suggest ideas for the charity project, but this is ONLY for myself. We will be using an aggressive allocation approach, and there is a large chance that the principal will evaporate. If you would like to be involved in this project and make it a two or three person endeavor, email me.

Blogging: Our blogging structure will be definitely changing next year. We will be moving more of the blogs towards myself and Aabhash as Ken helps new members get up to speed. The blogs will now begin turning into videos, like the market blog. Eventually, we might even create a mock television show. Other blogs will continue to be published on the website.

Videos (President only): The videos I mentioned will initially be created by myself only. In the future, if an officer wants to make one, consult my previous blog post introducing videos.

Coding Projects (President only): Next year, I will begin work on some coding projects like financial apps. These are for me only, and will not be on the club website, but on my personal site.

This list will be updated as soon as plans are made.

Thinkorswim Challenge

Hello officers,

You officers will be competing in a paper-money challenge on thinkorswim. Here are the rules:

  • You start with $200,000.
  • You will be trading with ONLY the $100,000 in the margin account.
  • You are allowed to use any method to make money.
  • Quotes and options are delayed. Many features are missing.
  • Do not reset your account without asking me first.
  • You must LEARN about TOS. This will take a few years, DO NOT say that you know everything already. As far as I know, NO ONE other than me has even placed a real trade in a real platform, or even a paper trade.
  • You must use the desktop version at first.

If you are interested in participating, please EMAIL me. I will give you instructions.

Participating in this TOS challenge and all future ones, and learning about the platform and its MANY MANY features are a PREREQUISITE to participating in the real money challenge next year. If you are interested in doing that, email me.

– Michael Trehan

Introducing Video Blogs

Hello members!

You may have noticed that I have published a Video Blog on multiple methods on how to trade the VIX, in addition to a presentation blog with slides from the video. Unusual types of blogs will only be published by the President, Michael Trehan, until further notice.

Here is the protocol which you will be using later for creating a vlog:

  1. Optional: Write about a topic in a normal blog.
  2. Optional: Create a presentation that will be used in the video.
  3. For Mac, use Quicktime Player (built-in) to record. For Windows, see me to record a screencast.
  4. Record either a screencast or a video of yourself, or the latter overlaid in the former.
  5. Edit the multiple raw video files in iMovie (Mac) or Windows Movie Maker (Windows, see me).
  6. Export the finished project to a single file in a common format.
  7. Copy the file onto a flash-drive, and give Michael the drive.
  8. Michael will upload the video to Youtube, and embed the video in the website.

Remember that video blogs are worth extra! They must reflect effort. The reason that you will be unable to publish vlogs initially is because of quality control reasons.

– Michael Trehan

Volatility Skew

Level: Intermediate

Introduction

Volatility Skew is a broad term that refers to the distribution of implied volatilities (IV) across strike prices for a single expiration. It could also refer to an IV-Expiry graph, but we will be focusing on the more common definition. For a two-dimensional graph, the values plotted for a skew would be the strike price on the x-axis, and the implied volatility of that strike on the y-axis.

Keep in mind, though, that in financial lingo, volatility skew and volatility smile are two separate terms, both of which describe the shape of the graph.

Volatility skew graphs are commonly available in most trading platforms.. However, to graph multiple expirations, you would need a volatility surface, which graphs expiration on the z-axis. These charts are not commonly available, but you can view an example below.

Volatility Surface Example
Volatility Surface Example

Volatility Smile

A volatility smile is a pattern in which the Strike-IV graph looks like the following:

Volatility smile - Looks like a U
Volatility Smile – Looks like a U

This means that the ATM call is priced lower than the OTM options, both calls and puts. The actual price, of course, would be larger or smaller depending on the type, but the relative price difference is calculated from the discrepancy from a number given from an options pricing model (ex. Black-Scholes).

The discrepancy could be caused by a variety of factors, which depend on the type of security being analyzed. For example, a smile would represent fear of either a move to the upside or to the downside because it shows that people are willing to pay more than expected for the options, which are often used as insurance.

Volatility smile is more common in options with close expiries in the stock market or in the foreign exchange market in general.

Volatility Skew

Volatility skew is a situation in which strikes for only one side of strike prices have a higher implied volatility.

Reverse Skew - Looks like \_,
Reverse Skew – Looks like \_,

 

Some people call the reverse skew a “smirk,” and there are other names for different graphs. When someone refers to “skew,” they are most probably referring to reverse skew.

Reverse skew is also the most common scenario for longer-dated expiries in the equity market. This is because lower strike puts are purchased to shield against market drops. However, in other markets, like the futures market, a forward skew might exist to protect against a price spike (ex. utilities).

Evolution of the IV Surface

So far, we have been looking at what the numbers themselves actually represent. Let’s take a look at the derivative of these graphs, otherwise known as the evolution.

“Sticky strikes” is a term to represent a situation where if the spot price changes, the IV surface is unaffected for a certain strike. This is also called stick-to-strike or sticky-by-strike.

“Sticky moneyness” or sticky delta or just moneyness is a situation where if the spot price changes, the IV surface is unaffected for a certain delta. Delta is simply the variation in an options price relative to the stock price.

Modeling Methods

There are two ways that the IV can be modeled in the case of a volatility smile.

  • Stochastic Volatility – Quite advanced, but it simply uses a random Brownian motion process to influence a stochastic model, which cannot be exactly predicted, but can be analyzed.
  • Local Volatility – Simply the general definition of IV, where it is the function of an options-pricing model.

Conclusion

The volatility skew is a tool that lets one see how investors are pricing options, not just in raw dollar terms, but compared to the Black-Scholes model. There are many terms to represent the shape of the curve, and the change in the IV Surface has its own terminology.

How the VIX is Calculated

Level: Advanced

Overview

The VIX (Volatility Index) is a benchmark of implied volatility for thirty days in the future. It was created by the Chicago Board Options Exchange, or CBOE, in 1993. This article will focus on what the VIX is, how it is calculated, and how it can be applied. This is a concise version of CBOE’s white paper report for the VIX, which is quite a long and mathematical read.

What is the VIX?

The VIX is a measure of implied volatility in the market. Implied volatility is simply the expectation for how much an underlying asset will move within one standard deviation.

The VIX originally was calculated based on the S&P 100 index at-the-money calls. However, it was revised a decade after it was introduced so that it was based on a wide range of strike prices for options on the S&P 500. We will be focusing on the newer calculation method.

VIX Formula

This is the formula for calculating the VIX:

  • σ is the VIX/100. That means that the VIX is σ * 100. Notice that the formula gives you the square of σ.
  • T is how much time there is until options expiration. More on this below.
  • means summation (addition many times, don’t be scared). The i underneath means that i is a variable within the summation.
  • F is the forward index level. This is basically what people are predicting the S&P 500 index will be at in the future, based on options prices.
  • Ko is the first strike below the forward index level.
  • Ki is also a strike price, but of the ith out-of-the-money option. Remember the summation? For each value of i, Ki will change too. Ki is the strike of a call option if Ki is greater than Ko, a put option if Ki is less than Ko, and if they are equal it is the strike of both the put and call.
  • ∆Ki is just the interval or difference between strike prices around Ki.
  • R is the risk-free interest rate until expiration. This is not determined by options but rather by bonds. This is for the U.S. Treasury Bill maturing closest to the options contract.
  • Q(Ki) is the quote or the price of the Ki option. It is the average of the bid and the ask.

That’s all! The raw equation is quite simple, but some of the values used in the calculation require more in-depth analysis.

Keep in mind that the VIX measure expectations for 30 days, or a month, in the future. The time to expiration is calculated as follows:

T = {M_(Current day) + M_(Settlement day) + M_(Other days)} / Minutes in a year

  • M_(Current day) is how many minutes are left until midnight today.
  • M_(Settlement day) is how many minutes are from midnight on the settlement day to 8:30 AM for standard options, and till 3 PM for weekly options.
  • M_(Other days) is how many minutes are in the days between today and expiration

As we can see, T is just a fraction of the year representing how long it is until settlement of a contract.

VIX Calculation Process

This information is a simplified version of CBOE’s white paper on VIX calculation. The steps CBOE uses to calculate the VIX figure are outlined here:

  1. Select the options to be used in the VIX calculation. For EACH month:
    1. Take the the strike price at which the difference between prices for calls and puts is the smallest (price is the average of bid and ask). Do this for both the near term (or current term) expiration and the next term expiration.
    2. F = Strike Price from above + e^(RT) x (Call Price – Put Price). Recall that this is the forward index level, or F. You will get F1 for the near term and F2 for the next term options.
    3. Take Ko as the strike price below F. You will get two of these for each value of F: one for the near term, one for the next.
    4. Start iterating through the put options with strike prices less than Ko, and go down from there. Skip ones with bid prices of zero. If two consecutive strikes have bids of zero, stop. Select all of the options iterated through here for use later.
    5. Start iterating through the call options with strike prices greater than Ko, and go up from there. Skip ones with bid prices of zero. If two consecutive strikes have bids of zero, stop. Select all of the options iterated through here for use later.
    6. Select both the call and put with strike Ko. This will be treated as a single contract in the formula, with the prices for the call and put averaged.
  2. Calculate volatility or the σ values using the above formula for both near-term and next-term options (these are the contracts and values calculated in the outer step 1). The weighting of any contract to the VIX value is proportional to ΔK (the difference between strikes) and the price of the option. It is inversely proportional (negatively affected by) to the square of the option’s strike price.
  3. Calculate the 30-day weighted average of σ1 squared and σ2 squared. Square root that value and multiply it by 100 to get the VIX (look back at the VIX Formula section).

How the VIX is Used

The VIX itself is just a number used to gauge the amount of “fear” in the market. The nature of the VIX’s usefulness arises from the formula above, and is essentially provided by looking at how much people are paying for options (protection) from a market move. In terms of raw values, values above 32 are times of fear, and options pricing is generally more conducive toward premium sellers. On the other hand, values below 16 reflect a calmer market in which premium buyers get a better deal.

Over the years, the VIX has evolved from being just a number. Futures on the VIX index itself trade also, and multiple ETFs are plays on where the VIX will move.

Summary

The VIX is a powerful tool that uses a simple formula to calculate the amount of “fear” in the market. Although the raw calculation process is a bit dreary, understanding it will allow you to realize from where the VIX derives its meaningfulness. Of course, computers now track the index and its value is widely accessible on the web. Hopefully, this article has provided you insight on the inner workings of the CBOE Volatility Index.

Greeks

Level: Intermediate

I will be bringing you more advanced education blogs that are outside the scope of the club currently.

What are your Greeks? Take a peek.

Delta: Your option price moves by DELTA amount for each dollar the underlying moves. However, even delta can change…

Gamma: Your DELTA moves by GAMMA amount for each dollar the underlying moves. This is the derivative of DELTA.

Vega: Measures how much the option price moves in relation to volatility.

Theta: Each day, how much your option price decays. This could be good or bad depending on whether you are a buyer or seller.

Rho: How much the option price is affected by interest rates. Not that commonly used.

Use these in conjunction with implied volatility and theoretical pricing tools like the Black Scholes model (more on that later) for the best success in choosing strike prices and expirations.

– Michael

What is a Moving Average?

This is my first minute blog, which should take you under a minute to skim. Enjoy.

A moving average is an indicator that smooths out the bumpy chart you usually see. It works like this: You take the close prices of the last # days (e.x., 50) and average them. You then plot that number for each day. That’s a simple moving average. Exponential moving averages weight recent close prices more heavily.

Moving averages of different lengths can be used together to create more advanced indicators, which we will cover later.

– Michael