# Option volatility trading strategies and risk

A general rule of thumb is this: You can learn more about delta in Meet the Greeks. Try looking for a delta of. In-the-money options are more expensive because they have intrinsic value, but you get what you pay for. Many rookies begin trading options by purchasing out-of-the-money short-term calls. For this strategy, time decay is the enemy.

It will negatively affect the value of the option you bought. After the strategy is established, you want implied volatility to increase.

Options involve risk and are not suitable for all investors. For more information, please review the Characteristics and Risks of Standardized Options brochure before you begin trading options.

Options investors may lose the entire amount of their investment in a relatively short period of time. Multiple leg options strategies involve additional risks , and may result in complex tax treatments. Please consult a tax professional prior to implementing these strategies. Implied volatility represents the consensus of the marketplace as to the future level of stock price volatility or the probability of reaching a specific price point. The Greeks represent the consensus of the marketplace as to how the option will react to changes in certain variables associated with the pricing of an option contract.

There is no guarantee that the forecasts of implied volatility or the Greeks will be correct. Ally Invest provides self-directed investors with discount brokerage services, and does not make recommendations or offer investment, financial, legal or tax advice.

System response and access times may vary due to market conditions, system performance, and other factors. There has been an increasing variety of volatility related trading strategies developed since the publication of Black-Scholes-Merton study. In this paper we study one of dispersion trading strategies, which attempts to profit from mispricing of the implied volatility of the index compared to implied volatilities of its individual constituents.

Although the primary goal of this study is to find whether there were any profitable trading opportunities from November 3, through May 10, in the German option market, it is also interesting to check whether broadly documented stylized fact that implied volatility of the index on average tends to be larger than theoretical volatility of the index calculated using implied volatilities of its components Driessen, Maenhout and Vilkov and others still holds in times of extreme volatility and correlation that we could observe in the study period.

Also we touch the issue of what is or was causing this discrepancy. Studying the properties of the correlation trades http: This thesis tries to explore the profitability of the dispersion trading strategies.

We begin examining the different methods proposed to price variance swaps. We have developed a model that explains why the dispersion trading arises and what the main drivers are.

After a description of our model, we implement a dispersion trading in the EuroStoxx We analyze the profile of a systematic short strategy of a variance swap on this index while being long the constituents.

We show that there is sense in selling correlation on short-term. We also discuss the timing of the strategy and future developments and improvements. My first task was to develop an analysis of the performances of the funds on hidden assets where the team's main focus was on, such as Volatility Swap, Variance Swap, Correlation Swap, Covariance Swap, Absolute Dispersion, Call on Absolute Dispersion Palladium.

The purpose was to anticipate the profit and to know when and how to reallocate assets according to the market conditions.

Secondly, I had a research project on Correlation trades especially involving Correlation Swaps and Dispersion Trades. This report is to summarize the research I have conducted in this subject. Lyxor has been benefiting from taking short positions on Dispersion Trades through variance swaps, thanks to the fact that empirically the index variance trades rich with respect to the variance of the components.

However, a short position on a dispersion trade being equivalent to taking a long position in correlation, in case of a market crash or a volatility spike , we can have a loss in the position. Thus, the goal of the research was to find an effective hedging strategy that can protect the fund under unfavorable market conditions.

The main idea was to apply the fact that dispersion trades and correlation swaps are both ways to have exposure on correlation, but with different risk factors. While correlation swap has a pure exposure to correlation, dispersion trade has exposure to the realised volatilities as well as the correlation of the components. Thus, having risk to another factor, the implied correlation of a dispersion trade is above empirically, 10 points the strike of the equivalent correlation swap.

Thus, taking these two products and taking opposite positions in the two, we try to achieve a hedging effect. Moreover, I tested how this strategy would have performed in past market conditions back-test and under extremely bearish market conditions stress-test. The Correlation Risk Premium: Term Structure and Hedging http: As the recent financial crisis has shown, diversification benefits can suddenly evaporate when correlations unexpectedly increase.

An analysis of unconditional and conditional correlation hedging strategies shows that only some conditional correlation hedging strategies add value. Dispersion Trading in South Africa: An Analysis of Profitability and a Strategy Comparison http: A dispersion trade is entered into when a trader believes that the constituents of an index will be more volatile than the index itself. The South African derivatives market is fairly advanced, however it still experiences inefficiencies and dispersion trades have been known to perform well in inefficient markets.

This paper tests the South African market for dispersion opportunities and explores various methods of executing these trades. The South African market shows positive results for dispersion trading; namely short-term reverse dispersion trading.

CSV swaps performed poorly whereas call options experienced annual returns well above the market.