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Introduction

Since its introduction in 1993, the CBOE Volatility Index (VIX) has been considered by many to be the world's premier barometer of investor sentiment and market volatility (Whaley, 1993). The VIX Index is a key measure of market expectations of near-term volatility conveyed by S&P 500 stock index option prices. Several papers have suggested that VIX or volatility can be important tools in investors' asset allocation or trading decisions. (See Bowler et al, 2003; Connors, 2002; Copeland, 1999; Hosker and Dholakia, 2004; Rattray and Balasubramanian, 2003; and Traub et al, 2000.)


In response to customer suggestions, a number of key VIX developments recently have occurred. In September 2003 the Chicago Board Options Exchange (CBOE) modified the methodology for VIX so that (1) the new VIX is now based on prices of S&P 500 (rather than S&P 100) options, and (2) the new VIX formula takes into account a broader range of strike prices (rather than using only near-the-money strikes as the original-formula index did). Each strike price is weighted, with at-the-money strikes having the most weight. The new formula is intended to make VIX a better index for investors who manage risks associated with the growing markets for volatility and variance swaps.

The other significant change regarding to VIX has been the addition of new tradeable direivatives products based on the index. In March 2004 the first-ever U.S. exchange trading of volatility-based contracts began as VIX futures were launched on the new CBOE Futures Exchange (CFE). In addition this year Standard & Poor's also began to issue licenses for exchange-listed certificates and warrants linked to VIX.

VIX Prices - Negative Correlation, Mean Reversion, And Market Signal

The CBOE has two indexes designed to reflect market expectations of near-term volatility conveyed by S&P stock index option prices:

· The CBOE Volatility Index (VIX), based on S&P 500 (SPX) options prices, with a new, more robust methodology introduced in 2003, and a price history dating back to 1990.

· The CBOE S&P 100 Volatility Index (VXO), based on S&P 100 (OEX) options prices, with a price history dating back to 1986. The methodology for the VXO Index originally was introduced in 1993.

The VIX and VXO indexes have been pretty closely aligned (note that in Figure 8 their monthly returns have had a 0.94 correlation) and the average VXO price has been about one point higher than the average VIX price.



Professor Robert Whaley of Duke University called VIX the "investor fear gauge," and VIX often has reached relatively high levels at times when there is anxiety among investors. For example, in the past decade, VIX had a daily close above the relatively high level of 43 when investors were concerned about Long-Term Capital Management and the Asian crisis in 1998, the terrorist attacks in September 2001 and the Enron and accounting scandals in the summer of 2002 (see Figure 2).




Figure 3 shows the tendency of the VIX Index to revert to the mean. A Goldman Sachs report (Rattray and Balasubramanian, 2003) noted: "1. Reversion tends to occur after both upside and downside extremes in the New VIX level. 2. Reversion appears to have become stronger recently, both for the long-term and short-term signal, and from both upside and downside extremes. 3. Downward movements in the New VIX after it hits an extreme upside are generally smaller than upside movements after it hits a low level." 


 


One of the most compelling features of the VIX Index is its relationship to the S&P 500 and other stock indexes. As shown in Figures 4, 5 and 6, the VIX Index has tended to sharply increase when the S&P 500 fell rapidly.




Figure 6


Figure 7


The fact that VIX prices have had a negative correlation with the S&P 500 and other leading indexes (see Figure 8) could lead one to consider whether VIX could be a good diversification and risk management tool.

 

A Merrill Lynch report (Bowler et al., 2003) noted that, "The VIX rises faster in a sharply falling market and fall slower (and can even rise in extreme cases) in a sharply rising market." A CSFB report (Toikka et al., 2004) analyzed the correlations of one-week S&P returns vs. implied volatility changes, and found a correlation of -0.49% when there was a market return between -1% and +1%, but the correlation was an even lower -0.79% when the weekly market return was below -3%.

Key Points From Other Analyses Of VIX

Much has been written about VIX in recent years.

For example, a study by State Street Global Advisors (Traub et al., 2000) stated that VIX

… is a good indicator of the level of fear or greed in U.S. and global capital markets. When investors are fearful, the VIX level is significantly higher than normal. Market participants require additional compensation in the form of above-average excess returns for riskier assets. … Using implied volatility as an asset allocation factor would have added significant value over the last 13 years.

A Goldman Sachs report (Rattray and Balasubramanian, 2003) noted:

(1) A high level of the VIX has power in predicting the market's subsequent direction. On average, the S&P 500 has risen after the VIX reached extreme levels, with a more frequent positive return the more extreme the VIX level. (2) A low level of the VIX has not been a consistently successful indicator of subsequent market weakness. (3) A reversion of the VIX occurs both after upside and downside extremes.

A Merrill Lynch paper (Bowler et al., 2003) remarked:

As the VIX is highly negatively correlated to the S&P 500, treating volatility as a separate asset and adding it to an S&P 500 portfolio can significantly reduce portfolio risk. Furthermore, as volatility cannot go to zero nor go up forever by construction, trading-range strategies (such as traditional asset allocation) have the potential to generate alpha from selling volatility as it rises and buying as it falls. We find that a portfolio consisting of 10% VIX, 90% S&P 500 rebalanced weekly, has been able outperform the S&P 500 by approximately 5% per year with 25% lower risk since 1986. Uncertainty still remains over how liquid the new volatility products will become.

Connors (1999) stated that the best market indicator "to capture the pulse of the market is the VIX … Extreme VIX readings and reversals often signal quick reversals in the stock market, making it an effective tool" for short-term trading strategies.

Copeland(1999) wrote that changes in VIX are "statistically significant leading indicators of daily market returns. … The implication is that market timing may be feasible ¾ at least for portfolio yield enhancement.'

New Vix Trading And Investment Tools

In March 2004 trading of VIX futures began on the new CBOE Futures Exchange (CFE). The cash-settled VIX futures have the following specifications: ticker symbol is VX; trading hours: 8:30 a.m. to 3:15 p.m. Chicago Time; the underlying value is ten times the index value, (disseminated by CBOE under the symbol 'VXB,' and through the CFE under the symbol 'VBI'); and the contract size is $100 times VXB. For example, with a VIX value of 19.50, the VXB would be 195 and the contract size would be $19,500. The last trading date is usually the Tuesday prior to the third Friday of the contract month, and the settlement date usually is the Wednesday prior to the third Friday of the contract month. On August 6, 2004 , VIX futures set a new single-day record with reported volume of 1,967 futures contracts, while the VIX futures open interest was 7,283 contracts.

A Lehman Brothers report (Hosker and Dholakia, 2004) suggested the "VIX futures are beneficial" because they are:

· An asset that is generally uncorrelated with market direction.

· A vehicle to express views on future realized index volatility versus stock constituents.

· A general method for controlling value-at-risk.

· An overlay against a naturally short volatility portfolio.

· An overlay against a naturally long volatility portfolio.

· A means of minimizing tracking error in a benchmarked portfolio.

· A hedge for investors who are likely short variance because they are long equities. Diversifying across countries can become less of an effective hedge as shocks are felt universally during global crises. VIX futures are one of the few entities that tend to be negatively correlated with global index and equity returns.

· A hedging mechanism for mutual funds, hedge funds and broker-dealers, including using variance swaps for dispersion trading.

The CFE also offers S&P 500 Three-Month Variance futures (VT), a tool designed to appeal to dealers in the variance and volatility swaps markets. See Derman et al(1999) and Sulima(2001) for more information on these swaps markets. The CBOE also has plans for the introduction of VIX options (subject to regulatory approval). As mentioned preivousl, Standard & Poor's has also begun to issue licenses for exchange-listed certificates and warrants linked to VIX . This could also lead to a number of interesting new VIX-related products coming to market and providing investors with yet more portfolio flexibility.

Conclusion

The VIX Index has a number of features that make it attractive to investors: mean reversion, negative correlation to the S&P 500 and a possible market signal for future stock market movements. The VIX Index and the VIX futures and warrants are tools with tremendous potential to aid investors in their diversification, asset allocation, risk management and trading decisions.

For more information on the VIX Index (including methodology, graphs, downloadable price history and contract specifications), please visit the VIX website at www.cboe.com/vix.

Bibliography

Bowler, Benjamin, Heiko Ebens; John Davi; and Marko Kolanovic, "Volatility - The Perfect Asset?" Merrill Lynch Global Securities Research , Dec. 2, 2003 .

Connors, Larry, 'Timing Your S&P Trades with the VIX,' Futures, June 2002, pages 46-47.

Copeland, Maggie, 'Market Timing: Style and Size Rotation Using the VIX,' Financial Analysts Journal, March/April 1999, pages 73-82.

Derman, Emanuel; Michael Kamal; Joseph Zou; and Kresimir Demeterfi, 'A Guide to Volatility and Variance Swaps,' The Journal of Derivatives, Summer 1999, pages 9 -32.

Hosker, James and Amit Dholakia, "Examining the New VIX Futures," Lehman Brothers Global Equity Research, March 23, 2004 .

Rattray, Sandy and Venkatesh Balasubramanian, "The New VIX as a Market Signal ¾ It Still Works!" Goldman Sachs Equity Derivatives Strategy, Sept. 5, 2003 .

Sulima, Cheryl, 'Volatility and Variance Swaps,' Capital Market News, Federal Reserve Bank of Chicago , March 2001.

Tan, Kopin, 'The ABCs of VIX,' Barron's, March 15, 2004 , pages MW16.

Toikka, Mika; Edward Tom; Stephen Chadwick; and Martin Bolt-Christmas, "The Volatility Risk Premium: Sell Volatility?" CSFB Equity Derivatives Strategy - Market Commentary, Feb. 26, 2004 .

Traub, Heydon; L. Ferreira; M. McArdle; and M. Antognelli, 'Fear and Greed in Global Asset Allocation,' The Journal of Investing, Spring 2000, pages 27-32.

Whaley, Robert E., 'Derivatives on Market Volatility: Hedging Tools Long Overdue,' Journal of Derivatives, Fall 1993, pages 71-84.

Whaley, Robert E., 'The Investor Fear Gauge,' J ournal of Portfolio Management 26, 2000, pages 12-17.  
 

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