Tag Archives: xiv

How To Invest As Fear Is Thrown Into The Market

Summary As fear increases in the market, volatility has rapidly risen in one of the shortest timeframes on record. Traders betting on a normalization of expectations should position for an eventual decline in volatility. Investing alongside the impact of contango results in the best returns. Investments never consistently trade in a single direction forever. Over the past week, the crash of major stock indices has been a stark reminder that surprises to investors can happen very quickly and that fear itself can often prove to be a powerful force to be reckoned with. Yet potential opportunities exist in every situation. One such trade to now consider is the eventual suppression of uncertainty as the stock market once again normalizes and regains its composure. Over the last few days, volatility has very rapidly been increasing as a result of this uncertainty. This can be seen in the graph of the Volatility S&P 500 Index (VIX) found below as compared against the S&P 500 represented by the SPDR S&P 500 Trust ETF ( SPY ) . The VIX is quoted in percentage points and roughly equates to the expected movement in the S&P 500 index over the subsequent 30-day period when annualized. The index is a largely constructed by utilizing the implied volatilities of a wide range of S&P 500 index options. In general, the VIX represents the expected swing of the market in either direction as an expressed percentage over a given period of time. Since trading at a low of $13 on Monday, August 17, the Volatility S&P 500 Index soared to a closing price of $28 on August 21. This is greater than a 100% rise over the course of days, and therefore represents one of the most sudden movements recorded in the index’s history. It also reflects the high degree of uncertainty in the market as investors scrambled to buy options in order to gain protection for their investments. Yet as it often tends to be the case, fear and uncertainty naturally subside over a given course of time. Historically, this too can often unfold in a very rapid manner. As noted in the graph below, the VIX frequently spikes only to rapidly return back to a more sustained level in the mid-teen price range. Reasonably, this allows for a trader to predict and to invest into the normalization of market uncertainty by positioning for the eventual decline in the VIX. While investors can directly invest into the VIX through the utilization of call and put options, those unfamiliar with the use of these trading tools can still capitalize upon this predictable trend. One such investment method is to consider a short position in a related fund that is correlated to the VIX. For example, the iPath S&P 500 VIX Short-Term Futures ETN ( VXX ) is an exchange traded note that offers exposure to the daily rolling long position in the first and second month VIX futures contract. Yet as a consequence of contango, the VXX is almost inherently designed to decline in value. Contango occurs due to the perishable value of the premium attached to futures prices set before the expected delivery date. As a consequence of contango and the reliable trading action of the VIX itself, the long-term trend of the VXX is made abundantly clear in the graph shown below. Over the long-term, contango and the lack of a consistently fearful market typically dictate the downward trend of the investment. As seen in the graph below, such a trend has been well defined for many years. (click to enlarge) However, not everyone is capable of entering into a short position. There is also an inherent danger as the potential losses of a trend that backlashes against expectations are theoretically limitless. Therefore, investors could alternatively go long a VIX inverse investment such as the VelocityShares Daily Inverse VIX Short-Term ETN ( XIV ) in order to capture a similar trend. This investment seeks the inverse performance of the S&P 500 VIX Short-Term Futures Index. For those wanting to limit the volatile nature of the this long position, one can also consider the VelocityShares Daily Inverse VIX Medium-Term ETN ( ZIV ) . This investment seeks the inverse performance of the S&P 500 VIX Mid-Term Futures index. The difference between these two futures indices is that the short-term index utilizes the prices of the next two near-term futures contracts whereas the mid-term index utilizes the prices of the fourth, fifth, sixth, and seventh month future contracts. As a result of this, the mid-term index faces significantly less volatility and a reduced impact from contango. The resulting trends of each of these investments can be found in the comparison graph below. While both XIV and ZIV have historically trended higher, it is clear that traders seeking higher returns are more prone to invest into XIV following a deterioration of the upward trend, which occurs when increased fear returns to the market. Final Thoughts It is important to remember no one is capable of predicting the future with perfect accuracy. As such, both traders and investors should often consider utilizing multiple entry points in order to average down into a comfortable position. Just because fear and volatility have risen to a very high point in a limited amount of time, there is no reason to believe that it will not be able to continue to rise in the days and potential weeks to follow. Nevertheless, for the patient investor capable of identifying opportunity when it passes by, the potential return from a predictable trend found in volatility can often be quite rewarding. After all, the odds of a market that continues to consistently become ever more fearful is rather slim statistically. Disclosure: I am/we are long XIV, ZIV. (More…) I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.

Adding XIV, Inverse Volatility ETF, Enhances The Performance Of A Stocks And Bonds Portfolio

Summary A hypothetical portfolio composed of MDY, QQQ, SHY and TLT performed quite well since its inception in 2003, even during the bear market of 2008-09 and the 2011 market correction. Adding XIV to the portfolio increases the performance range significantly. The enhanced portfolio performed well during the 2011 market correction. In this article we investigate the effect of adding a volatility component to a portfolio of stock and bond ETFs that is known to perform well during market downtrends. We decided to add the VelocityShares Daily Inverse VIX Short-Term ETN (NASDAQ: XIV ), a fund initiated on 11/29/2010. Since XIV historical price data is available only from December 2010 on, and we need 65 trading days for estimating market parameters, we were able to simulate our optimal allocation strategy starting with March 2011. We performed an analysis of the difference in performance of the basic and enhanced portfolios over a 52 months period. Here is the composition of the volatility enhanced portfolio: SPDR S&P Mid-Cap 400 ETF Trust (NYSEARCA: MDY ) PowerShares QQQ Trust ETF (NASDAQ: QQQ ) iShares 1-3 Year Treasury Bond ETF (NYSEARCA: SHY ) iShares 20+ Year Treasury Bond ETF (NYSEARCA: TLT ) VelocityShares Daily Inverse VIX Short-Term ETN ( XIV ) Basic information about the funds was extracted from Yahoo Finance and is shown in table 1. Table 1. Symbol Inception Date Net Assets Yield Category MDY 5/4/1995 17.04B 1.08% Mid-Cap Blend QQQ 3/31/1999 45B 1.01% Technology Large-Cap SHY 7/22/2002 9.17B 0.42% Short Term Treasury Bond TLT 7/22/2002 17.04B 2.70% Long Term Treasury Bond XIV 11/29/2010 497M 0.00% Inverse Volatility The data for the study were downloaded from Yahoo Finance on the Historical Prices menu for MDY, QQQ, SHY, TLT, XIV. We use the daily price data adjusted for dividend payments. The portfolio is managed as dictated by a variance-return optimization algorithm developed on the Modern Portfolio Theory (Markowitz). The allocation is rebalanced monthly at market closing of the first trading day of the month. The optimization algorithm seeks to maximize the return under a constraint on the portfolio risk determined as the standard deviation of daily returns. In table 2 we list the total return, the compound average growth rate (CAGR%), the maximum drawdown (maxDD%), the annual volatility (VOL%), the Sharpe ratio and the Sortino ratio of the volatility enhanced portfolio. We simulated the performance of the portfolio under three targets of the volatility of the returns: low, mid and high. Table 2. Performance of the volatility enhanced portfolio from March 2010 to June 2015   TotRet CAGR NO.trades maxDD VOL Sharpe Sortino LOW risk 84.84% 15.26% 52 -6.90% 9.71% 1.57 2.04 MID risk 130.38% 21.28% 50 -9.83% 13.93% 1.53 2.03 HIGH risk 152.63% 23.89% 50 -12.56% 17.06% 1.40 1.82 SPY 71.93% 13.35% 0 -18.61% 15.15% 0.88 1.11 In figure 1 we show the equity curves for the portfolio with the three targets of the volatility. (click to enlarge) Figure 1. Equity curves for the volatility enhanced portfolio adaptively optimized with a low, mid, and high volatility constraint. Source: This chart is based on calculations using the adjusted daily closing share prices of securities. We also simulated the optimal allocation for maximizing the return without any volatility constraints. The results for the basic portfolio (MDY+QQQ+SHY+TLT) and the volatility enhanced portfolio (same ETFs + XIV), are shown in table 3. Table 3. Performance of portfolios optimized for maximum return without volatility constraints.   TotRet CAGR NO.trades maxDD VOL Sharpe Sortino Basic 113.00% 19.10% 16 -13.83% 15.10% 1.27 1.84 Enhanced 462.22% 49.06% 15 -39.00% 46.53% 1.05 1.22 The equity curves of the portfolios are shown in figure 2. (click to enlarge) Figure 2. Equity curves for the basic and the volatility enhanced portfolio optimized for maximum return without any volatility constraints. Source: This chart is based on calculations using the adjusted daily closing share prices of securities. As can be seen from table 3 and figure 2, the enhanced portfolio can achieve extremely high returns. Those high returns come with a high increase of the volatility of the returns. This behavior is not surprising, given the high volatility of the XIV fund. Fortunately, the XIV fund accumulates gains due to its daily rebalancing while the VIX futures are in contango because it buys the cheaper current month VIX future and it sells the more expensive next month VIX future. Of course, the rebalancing causes losses while the VIX futures are in backwardation. We compared the returns of the portfolios over the bear market of 2008, and the market corrections of 2010 and 2011. The results are shown in table 4. Table 4 Total returns of the portfolios during market downturns Time Period SPY Basic Port. Enhanced Port. 4/2011 – 9/2011 -16.22% 15.09% 11.12% As seen in table 4 both the basic and the enhanced portfolios were profitable during the 2011 market correction. We know that the basic portfolio was profitable during the 2008-09 bear market. We expect that the enhanced portfolio would also perform well, but we do not have historical data to verify it. Conclusion By adding a volatility based fund to a portfolio of stock and bond funds, we obtained a portfolio that is capable of delivering exceptionally high returns during stock bull markets. By allocating the funds based on a return-variance optimization algorithm with volatility constraints, one can achieve high returns with limited down risk during market corrections. Additional disclosure: The article was written for educational purposes and should not be considered as specific investment advice. Disclosure: I am/we are long QQQ,SHY. (More…) I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.