Duration Dependence,Behavioral Restrictions,and the Market Timing Ability of Commodity Trading Advisors

This paper addresses a potential shortcoming in the work on the market timing ability of fund managers. We adapt the Henriksson‐Merton (1981) test for market timing by relaxing a behavioral assumption that is implicit in the use of daily data. To this end, we relax the assumption that managers base their market timing decisions on daily excess returns. Instead, we use results from the literature on bull and bear markets and test whether fund managers can successfully time such trends in financial markets. We make use of a proprietary dataset of daily Commodity Trading Advisors (CTAs) returns to show that CTAs, on average, are able to time the bull and bear markets we identify.     

Derivatives trading,volatility spillover,and regulation: Evidence from the Korean securities markets

Unlike the U.S. and Japanese securities markets, we find new evidence of volatility spillover between index stocks and non‐index stocks following the introductions of index derivatives trading in the Korean securities markets. We further find that the degree of volatility spillover is closely related to the level of market deregulation; significant return volatility spills over from non‐index to index stocks during deregulation period but in the opposite direction during post‐deregulation period. Our empirical results show that the former volatility spillover from non‐index to index stocks can be explained by the transitory contagion effect associated with the 1997 Korean financial crisis and the subsequent market deregulation, whereas the latter volatility spillover from index to non‐index stocks is attributed to the permanent information spillover effect. This latter evidence suggests that the information regarding investors' expectations on the future common market factors is first reflected into the return volatility of index stocks and then transferred to the trading of non‐index stocks against which derivatives are not traded. Our results are robust to different estimation and sample construction methods. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:563–597, 2009     

Performance and persistence of Commodity Trading Advisors: Further evidence

We re‐examine the performance of Commodity Trading Advisors (CTAs) over the January 1995 to October 2008 period. We compare abnormal performance based on a number of alternative existing models, as well as a category‐specific model introducing asset‐, option‐, and moments‐based factors. Taking more factors into account significantly raises the explanatory power, and 9 out of 12 CTA categories significantly outperform the market. We find that numerous CTAs show persistence over a horizon of at least three months and they are also more likely to be persistent over a longer period. Yet, most of the persistence fades away upon the “acid test” of considering only the top and bottom quartiles of CTAs. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:725–752, 2010     

Volatility,global information,and market conditions: a study in futures markets

This study examined the behavior of return volatility in relation to the timing of information flow under different market conditions influenced by trading volume and market depth. We emphasized information flow during trading and nontrading periods that may represent domestic and offshore information in the global trading of currencies. Test results show that volatility was negatively related to market depth; that is, deeper markets had relatively less return volatility. Additionally, the effect that market depth had on volatility was superseded by information within trading volume. Test results focusing on the timing of information flow reveal that in low‐volume markets, the volatility of nontrading‐period returns exceeded the volatility of trading‐period returns. However, when trading volume was high, this pattern was reversed and conformed to the observations of earlier articles. Our findings proved to be robust across time, different currency markets, and different measures of return volatility. We also observed a trend toward greater integration between foreign and U.S. financial markets; the U.S. market increasingly emphasized information from nontrading periods to supplement information arriving during trading periods. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:173–196, 2001     

Cross‐commodity analysis and applications to risk management

The understanding of joint asset return distributions is an important ingredient for managing risks of portfolios. Although this is a well‐discussed issue in fixed income and equity markets, it is a challenge for energy commodities. In this study we are concerned with describing the joint return distribution of energy‐related commodities futures, namely power, oil, gas, coal, and carbon. The objective of the study is threefold. First, we conduct a careful analysis of empirical returns and show how the class of multivariate generalized hyperbolic distributions performs in this context. Second, we present how risk measures can be computed for commodity portfolios based on generalized hyperbolic assumptions. And finally, we discuss the implications of our findings for risk management analyzing the exposure of power plants, which represent typical energy portfolios. Our main findings are that risk estimates based on a normal distribution in the context of energy commodities can be statistically improved using generalized hyperbolic distributions. Those distributions are flexible enough to incorporate many characteristics of commodity returns and yield more accurate risk estimates. Our analysis of the market suggests that carbon allowances can be a helpful tool for controlling the risk exposure of a typical energy portfolio representing a power plant. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:197–217, 2009     

Investor Sentiment and Return Predictability in Agricultural Futures Markets

This study examines the usefulness of trader‐position‐based sentiment index for forecasting future prices in six major agricultural futures markets. It has been found that large speculator sentiment forecasts price continuations. In contrast, large hedger sentiment predicts price reversals. Small trader sentiment hardly forecasts future market movements. An investigation was performed into various sentiment‐based timing strategies, and it was found that the combination of extreme large trader sentiments provides the strongest timing signal. These results are generally consistent with the hedging‐pressure theory, suggesting that hedgers pay risk premiums to transfer nonmarketable risks in futures markets. Moreover, it does not appear that large speculators in the futures markets possess any superior forecasting ability. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:929–952, 2001     

The Canadian Hedge Fund Industry: Performance and Market Timing

We analyze the risk and return characteristics of Canadian hedge funds based on a comprehensive database we compiled. We find that Canadian hedge funds have higher risk‐adjusted performance and different distributional characteristics relative to the global hedge fund indices. We investigate market timing by Canadian hedge funds and find that they do not time the Canadian or global stock and bond markets, but hedge funds in the Managed Futures strategy group time the commodity market. These results are robust to parameter instability and structural changes in the model. We also illustrate the impact of using local and global risk factors to analyze the performance of local investment firms.     

Market Timing With Moving Averages

I present evidence that a moving average (MA) trading strategy has a greater average return and skewness as well as a lower variance compared to buying and holding the underlying asset using monthly returns of value‐weighted US decile portfolios sorted by market size, book‐to‐market, and momentum, and seven international markets as well as 18,000 individual US stocks. The MA strategy generates risk‐adjusted returns of 3–7% per year after transaction costs. The performance of the MA strategy is driven largely by the volatility of stock returns and resembles the payoffs of an at‐the‐money protective put on the underlying buy‐and‐hold return. Conditional factor models with macroeconomic variables, especially the default premium, can explain some of the abnormal returns. Standard market timing tests reveal ample evidence regarding the timing ability of the MA strategy.     

Analyst forecasts and price discovery in futures markets: The case of natural gas storage

We investigate analyst forecasts in a unique setting, the natural gas storage market, and study the contribution of analysts in facilitating price discovery in futures markets. Using a high‐frequency database of analyst storage forecasts, we show that the market appears to condition expectations regarding a weekly storage release on the analyst forecasts and beyond that of various statistical‐based models. Further, we find that the market looks through the reported consensus analyst forecast and places differential emphasis on the individual forecasts of analysts according to their prior accuracy. Also, the market appears to place greater emphasis on analysts' long‐term accuracy than on their recent accuracy. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:451–477, 2009     

Ability parity model for optimal fund allocation: Evidence from China's mutual fund markets

We propose in this article a novel ability parity model for optimal fund allocation. Compared with the traditional portfolio selection methods which directly work on asset returns and/or risk (volatility), the proposed ability parity method focuses mainly on the allocation between the stock selection ability and market timing ability of fund managers, which essentially determines fund performance (Fama, 1972). Using the data of China's mutual fund markets, we find strong and robust evidence that the proposed ability parity model delivers significantly higher return, skewness, and Sharpe ratio than traditional models and the benchmark index, while having volatilities comparable with traditional models.     

The impact of off‐market trading on liquidity: Evidence from the Australian options market

This study investigates the impact of reducing the contract size threshold for off‐market trading on transaction costs in an options market. This study provides evidence that market makers compete more aggressively for small‐to‐medium trades and quote mid‐size depths more often after the regime change. Results also indicate that small‐to‐medium trades incur lower transaction costs; however, large trades that are executed on the central limit order book do not benefit from the structural transition. Given recent frictions imposed by regulators on equity markets, these results suggest that options markets provide an effective means for investors to replicate short‐selling in underlying securities. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:361–377, 2010     

Who knows more about future currency volatility?

We use four currency pairs from October 1, 2001 to September 29, 2006 to compare the predictive power of the implied volatility derived from currency option prices that are traded on the Philadelphia Stock Exchange (PHLX), Chicago Mercantile Exchange (CME), and over‐the‐counter market (OTC). Among the competing implied volatility forecasts, OTC‐implied volatility subsumes the information content of PHLX‐ and CME‐implied volatility. Consistent with extant studies our result also shows that the implied volatility provides more information about future volatility–regardless of whether it is from the OTC, PHLX, or CME markets–than time series based volatility. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:270–295, 2009     

Looking for contagion in currency futures markets

This article tests whether there are pure contagion effects in both conditional means and volatilities among British pound, Canadian dollar, Deutsche mark, and Swiss franc futures markets during the 1992 ERM crisis. A conditional version of international capital asset pricing model (ICAPM) in the absence of purchasing power parity (PPP) is used to control for economic fundamentals. The empirical results indicate that overall there are no mean spillovers among those futures markets, but they are detected during the crisis period. That is, past return shocks originating in any one of the four markets have no impact on the other three markets during the entire sample period, suggesting that these markets are weak‐form efficient. However, this weak‐form market efficiency fails to hold during the market turmoil, especially for British pound and Swiss franc, and the sources of contagion‐in‐mean effects are mainly due to the return shocks originating in three European currency futures markets. As for the contagion‐in‐volatility, it is detected for British pound only because its conditional volatility is influenced by the negative volatility shocks from Canadian dollar, Deutsche mark, and Swiss franc, with Deutsche mark playing the dominant role in generating these shocks. JEL Classifications: C32; F31; G12. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:957–988, 2003     

Intraday Volatility in Interest‐Rate and Foreign‐Exchange Markets: ARCH,Announcement, and Seasonality Effects

We explore the determinants of intraday volatility in interest‐rate and foreign‐exchange markets, focusing on the importance and interaction of three types of information in predicting intraday volatility: (a) knowledge of recent past volatilities (i.e., ARCH or Autoregressive Conditional Heteroskedasticity effects); (b) prior knowledge of when major scheduled macroeconomic announcements, such as the employment report or Producer Price Index, will be released; and (c) knowledge of seasonality patterns. We find that all three information sets have significant incremental predictive power, but macroeconomic announcements are the most important determinants of periods of very high intraday volatility (particularly in the interest‐rate markets). We show that because the three information sets are not independent, it is necessary to simultaneously consider all three to accurately measure intraday volatility patterns. For instance, we find that most of the previously documented time‐of‐day and day‐of‐the‐week volatility patterns in these markets are due to the tendency for macroeconomic announcements to occur on particular days and at particular times. Indeed, the familiar U‐shape completely disappears in the foreign‐exchange market. We also find that estimates of ARCH effects are considerably altered when we account for announcement effects and return periodicity; specifically, estimates of volatility persistence are sharply reduced. Separately, our results show that high volatility persists longer after shocks due to unscheduled announcements than after equivalent shocks due to scheduled announcements, indicating that market participants digest information much more quickly if they are prepared to receive it. However, contrary to results from equity markets, we find no evidence of a meaningful difference in volatility persistence after positive or negative price shocks. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21: 517–552, 2001     

Option implied cost of equity and its properties

The estimation of the cost of equity capital (COE) is one of the most important tasks in financial management. Existing approaches compute the COE using historical data, i.e. they are backward‐looking methods. This study derives a method to calculate forward‐looking estimates of the COE using the current market prices of stocks and stock options. Our estimates of the COE reflect the expectation of the market investors about the COE during the life of the investment project. We test empirically our method and compare it with the Fama/French (1993) three‐factor model for the S&P 100 firms. The empirical results indicate that our COE estimates (1) are plausible and stable over the years as required by appropriate discount rates for capital budgeting, (2) yield an equity risk premium close to the market equity risk premium reported by Fama E. F. and French K. R. (2002), (3) generate strong return‐risk relationships, and (4) are significantly related with investor sentiment. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29: 599–629, 2009     

The early news catches the attention: On the relative price impact of similar economic indicators

This study investigates why financial markets react to the release of some economic indicators while ignoring others with similar informational content. Based on a Bayesian learning model, we show that the market impact of an economic indicator depends crucially on its early availability. The sequential introduction of the two largest German business surveys provides a natural experiment by which the model's implications are tested empirically. We show that even a large and well‐established indicator loses market impact if a similar indicator is launched and released earlier. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:909–937, 2010     

The impact of volatility derivatives on S&P500 volatility

This study investigates whether the newly cultivated platform of volatility derivatives has altered the volatility of the underlying S&P500 index. The findings suggest that the onset of the volatility derivatives trading has lowered the volatility of both the cash market volatility and the cash market index, and significantly reduced the impact of shocks to volatility. When big sudden events hit financial markets, however, the volatility of volatility seems to elevate in the U.S. equity market as a result of increased global correlations. Regardless of the period under examination and the estimator employed, long‐run volatility persistence is present. The latter drops significantly when the credit crunch period is excluded from the post‐event date sample period. The correlation between the broad equity index and the return volatility remains low, which in turn strengthens the role of volatility derivatives to facilitate portfolio diversification. The analysis also shows that volatility is mean reverting, whereas market data support the impact of information asymmetries on conditional volatility. In the post‐event date phase, no asymmetries are found when the recent crisis is not accounted for. Finally, comparisons with other international equity indices, with no volatility derivatives listed, unveil that these indices exhibit higher volatility and slower recovery from shocks than the S&P500 index. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:1190–1213, 2009     

Forecasting volatility

The forecasting ability of the most popular volatility forecasting models is examined and an alternative model developed. Existing models are compared in terms of four attributes: (1) the relative weighting of recent versus older observations, (2) the estimation criterion, (3) the trade‐off in terms of out‐of‐sample forecasting error between simple and complex models, and (4) the emphasis placed on large shocks. As in previous studies, we find that financial markets have longer memories than reflected in GARCH(1,1) model estimates, but find this has little impact on outofsample forecasting ability. While more complex models which allow a more flexible weighting pattern than the exponential model forecast better on an in‐sample basis, due to the additional estimation error introduced by additional parameters, they forecast poorly out‐of‐sample. With the exception of GARCH models, we find that models based on absolute return deviations generally forecast volatility better than otherwise equivalent models based on squared return deviations. Among the most popular time series models, we find that GARCH(1,1) generally yields better forecasts than the historical standard deviation and exponentially weighted moving average models, though between GARCH and EGARCH there is no clear favorite. However, in terms of forecast accuracy, all are dominated by a new, simple, nonlinear least squares model, based on historical absolute return deviations, that we develop and test here. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:465–490, 2005     

Do futures lead price discovery in electronic foreign exchange markets?

Using intraday data, this study investigates the contribution to the price discovery of Euro and Japanese Yen exchange rates in three foreign exchange markets based on electronic trading systems: the CME GLOBEX regular futures, E‐mini futures, and the EBS interdealer spot market. Contrary to evidence in equity markets and more recent evidence in foreign exchange markets, the spot market is found to consistently lead the price discovery process for both currencies during the sample period. Furthermore, E‐mini futures do not contribute more to the price discovery than the electronically traded regular futures. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 29:137–156, 2009     

Time‐varying market price of risk in the crude oil futures market

In this study, a three‐factor model of crude oil prices is estimated, which incorporates a time‐varying market price of risk. The model is able to accurately capture the term structure of futures prices with evidence suggesting that risk premiums in the crude oil market are time‐varying. Using the cross‐section of futures prices, we estimate a time‐series of the market price of risk in the crude oil market implied by the model. We find that the risk premiums in the crude oil market are driven by the same risk factors as equity and bond markets. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 31:779–807, 2011