Risk Premia in Foreign Currency Futures

This paper tests the uncorrelatedness of increments of daily foreign currency futures prices and derives implications for risk premia based on a heteroscedasticity-robust variance ratio test. There is evidence suggesting the existence of a time-varying risk premia. Moreover, the results suggest that currency futures price is not an unbiased predictor of currency spot price on corresponding maturity date of currency futures contract. The paper also applies a heteroscedasticity-adjusted Box-Pierce Q test to the same data set for comparison.     

An Anatomy of Commodity Futures Risk Premia

We identify two types of risk premia in commodity futures returns: spot premia related to the risk in the underlying commodity, and term premia related to changes in the basis. Sorting on forecasting variables such as the futures basis, return momentum, volatility, inflation, hedging pressure, and liquidity results in sizable spot premia between 5% and 14% per annum and term premia between 1% and 3% per annum. We show that a single factor, the high‐minus‐low portfolio from basis sorts, explains the cross‐section of spot premia. Two additional basis factors are needed to explain the term premia.     

Risk Premia in Foreign Currency Futures: A Reexamination

This paper reexamines the significant autocorrelation results of foreign currency futures reported by Liu and He [12] in this journal. It argues that extremely thin trading early in the life of individual futures contracts induces unreliable results in [12]. Moreover, the Monte Carlo results clarify the power performance between Lo and MacKinlay's [13] variance ratio tests and Diebold's [3] Q-statistics; both tests are used by Liu and He.     

A Model of Monetary Policy and Risk Premia

We develop a dynamic asset pricing model in which monetary policy affects the risk premium component of the cost of capital. Risk‐tolerant agents (banks) borrow from risk‐averse agents (i.e., take deposits) to fund levered investments. Leverage exposes banks to funding risk, which they insure by holding liquidity buffers. By changing the nominal rate the central bank influences the liquidity premium, and hence the cost of taking leverage. Lower nominal rates make liquidity cheaper and raise leverage, resulting in lower risk premia and higher asset prices, volatility, investment, and growth. We analyze forward guidance, a “Greenspan put,” and the yield curve.     

The Price of Correlation Risk: Evidence from Equity Options

We study whether exposure to marketwide correlation shocks affects expected option returns, using data on S&P100 index options, options on all components, and stock returns. We find evidence of priced correlation risk based on prices of index and individual variance risk. A trading strategy exploiting priced correlation risk generates a high alpha and is attractive for CRRA investors without frictions. Correlation risk exposure explains the cross-section of index and individual option returns well. The correlation risk premium cannot be exploited with realistic trading frictions, providing a limits-to-arbitrage interpretation of our finding of a high price of correlation risk.     

Interest Rate Futures Options and Interest Rate Options

This paper derives pricing models of interest rate options and interest rate futures options. The models utilize the arbitrage-free interest rate movements model of Ho and Lee. In their model, they take the initial term structure as given, and for the subsequent periods, they only require that the bond prices move relative to each other in an arbitrage-free manner. Viewing the interest rate options as contingent claims to the underlying bonds, we derive the closed-form solutions to the options. Since these models are sufficiently simple, they can be used to investigate empirically the pricing of bond options. We also empirically examine the pricing of Eurodollar futures options. The results show that the model has significant explanatory power and, on average, has smaller estimation errors than Black's model. The results suggest that the model can be used to price options relative to each other, even though they may have different expiration dates and strike prices.     

Real Options Premia Implied from Recent Transactions in the Greek Real Estate Market

This research is the first to examine the empirical predictions of a real option-pricing model on market values from the realty market of a Euro area country, namely Greece. Using a manually collected sample of land and property transaction prices, we demonstrate that, a model which incorporates the option to wait to develop land has explanatory power on observed prices over and above the intrinsic value from a simple discounted cash flow (DCF) approach. Recent land transactions in our sample seem to reflect a premium for the option to wait (‘real option premium’) that can be as high as 26.66%–52.38%, especially in the west and north suburbs of Athens. Estimates of annual volatility for specific properties, as implied by transaction prices, are found to range from 15% to 21%.     

Informed Futures Trading and Price Discovery: Evidence from Taiwan Futures and Stock Markets

This article focuses on the information effects between the futures market and its spot market. Intraday data are used to investigate the lead-lag relationships between the returns and trading activity of Taiwan stock index futures and the spot returns. We focus on the transmission direction and the sources of information. Consistent with most previous studies, our results show that other than the contemporaneous relationship predicted by carry-cost theory and efficient market theory, futures returns significantly lead spot returns, which implies that informed trades may occur in the futures market. Using private transaction information, net open buy, as a proxy for futures trading activity and distinguishing different types of futures traders, we find that foreign institutional traders are the major source of informed trades because their trading has predictive power for future movements in both spot and futures prices. Traders in other categories are information laggards.     

Tails,Fears, and Risk Premia

We show that the compensation for rare events accounts for a large fraction of the average equity and variance risk premia. Exploiting the special structure of the jump tails and the pricing thereof, we identify and estimate a new Investor Fears index. The index reveals large time‐varying compensation for fears of disasters. Our empirical investigations involve new extreme value theory approximations and high‐frequency intraday data for estimating the expected jump tails under the statistical probability measure, and short maturity out‐of‐the‐money options and new model‐free implied variation measures for estimating the corresponding risk‐neutral expectations.     

Trade Network Centrality and Currency Risk Premia

I uncover an economic source of exposure to global risk that drives international asset prices. Countries that are more central in the global trade network have lower interest rates and currency risk premia. To explain these findings, I present a general equilibrium model in which central countries' consumption growth is more exposed to global consumption growth shocks. This causes the currencies of central countries to appreciate in bad times, resulting in lower interest rates and currency risk premia. Empirically, central countries' consumption growth covaries more with world consumption growth, further validating the proposed mechanism.     

The Hedging Effectiveness of ECU Futures Contracts: Forecasting Evidence from an Error Correction Model

In this paper, the traditional price change hedge ratio estimation method is extended by applying the theory of cointegration in case of hedging with European Currency Unit (ECU) futures contracts. Previous studies ignore the last period's equilibrium error and short-run deviations. The findings of this study indicate that the hedge ratio estimated by the error correction method is superior to the one obtained from the traditional method, as evidenced by the likelihood ratio test and out-of-sample forecasts. Hedgers can control the risk of their portfolios more effectively at a lower cost.     

Arbitraging American Gold Spot and Futures Options

This study empirically tests rational pricing conditions applicable to American gold spot and futures options. A number of ancillary pricing relations also are tested. Transactions data supplied by the Montreal Stock Exchange and the New York Commodity Exchange are used in these tests. Arbitrage trading strategies designed to exploit violations of these conditions also are provided. The results indicate potential intermarket inefficiency: a substantial number of violations of a condition applicable to call options are found, and most of these violations are sufficient in magnitude to cover the relevant transaction costs of arbitrage.     

人民币衍生品面世美国

8月28日,人民币期货、期权产品在美国芝加哥商业交易所(CME)正式面市。对国人来说异常陌生的金融衍生品终于走进了现实。CME与Globex CME成立于1898年,主要提供有关汇     

Day Trader Behavior and Performance: Evidence from Taiwan Futures Market

By using a unique data from the Taiwan futures market to identify each trader’s trading records and focusing on the high-frequency day traders who trade at least 90 days over the sample year, this study closely examines their behaviors and performance. Day traders’ performances are “risk-adjusted” and analyzed to identify behavioral biases and the resulting impact on performance. There is no evidence found that trading too much is detrimental to investment performance. The high-frequency day traders are more aware of the danger of behavioral biases and are as a result less prone to the disposition effect. Contrary to expectations, day traders in my study are shown to be non-loss averse. Most of our sample except for the highest performance quintile follow a momentum strategy.     

Real Options: Experimental Evidence

Empirical testing of the real options theory has been very limited. This is primarily due to various inherent problems with obtaining field data for many components of real options theory. This paper utilizes experimental methodology to generate the data. The advantage of the experimental approach is that it enables the investigator to generate reliable and replicable data in a controlled environment. The results of the experiment indicate that fundamental insights of real options theory are not evident to individual investors. The majority invested too early and thus failed to recognize the benefit of the option to wait. However, when the investors had to compete with others for the right to invest, their bids generally reflected the value of the embedded option. Furthermore, as predicted by the theory, their bids increased with greater uncertainty about future cash flows from the investment.     

Interpreting Implied Risk-Neutral Densities: The Role of Risk Premia

This paper examines differences between risk-neutral and objective probability densities of future interest rates. The identification and quantification of these differences are important when risk-neutral densities (RNDs), such as option-implied RNDs, are used as indicators of actual beliefs of investors. We employ a multi-factor essentially affine modeling framework applied to German time-series and cross-section term structure data in order to identify both the risk-neutral and the objective term structure dynamics. We find important differences between risk-neutral and objective distributions due to risk premia in bond prices. Moreover, the estimated premia vary over time in a quantitatively significant way, which implies that the differences between the objective and the risk-neutral distributions also vary over time. We therefore conclude that one should be cautious in interpreting RNDs in terms of expectations. The method used in this paper provides an alternative approach to identifying objective probabilities of future interest rates.     

期货合作社:农民避险增收新模式

通过组建农民期货合作社,引领农民进入市场,建立农产品尤其是粮食流通的新模式,是发达国家的成熟做法和成功经验,也将是我国农业突破小生产与大市场之间的矛盾,实现市场化发展的必然选择。     

Index Futures Trading and Stock Return Volatility: Evidence from the Introduction of Mid Cap 400 Index Futures

The MidCap 400 stock index is used to provide new evidence on the relation between stock index futures trading and stock return volatility. The study documents a significant decrease in return volatility and systematic risk, and a significant increase in trading volume for the MidCap 400 stocks after the introduction of the MidCap index. A control sample of medium-capitalization stocks, however, exhibits similar contemporaneous changes in these measures. The MidCap stocks and the control stocks also experience a significant decrease in volatility and an increase in volume after the introduction of MidCap 400 index futures. Thus, the study finds no difference in the behavior of the MidCap 400 stocks and the control stocks and no evidence of a relation between index futures trading and volatility in the stock market.     

Real Rates, Expected Inflation, and Inflation Risk Premia

This paper studies the term structure of real rates, expected inflation, and inflation risk premia. The analysis is based on new estimates of the real term structure derived from the prices of index-linked and nominal debt in the U.K. I find strong evidence to reject both the Fisher Hypothesis and versions of the Expectations Hypothesis for real rates. The estimates also imply the presence of time-varying inflation risk premia throughout the term structure.     

Heterogeneous Beliefs, the Term Structure and Time-varying Risk Premia

This paper demonstrates theoretically and empirically that one possible economic explanation of the dynamics of the term structure of interest rates is the time-varying heterogeneous beliefs about future economic conditions. Assuming that each agent forms heterogeneous expectations about both his income shock and others’ beliefs about their income shocks each period, the paper illustrates that heterogeneous beliefs generate time-varying risk premia of the term structure in a closed-form solution. Motivated by this theory, several empirical tests are conducted using the cross-sectional mean and dispersion of belief indices that are extracted as the differences between non-judgemental econometric forecasts based on diffusion indices in Stock and Watson (J Bus Econ Stat, 2002) and professional survey forecasts. It is shown that (a) an increase in the mean belief about inflation steepens the yield curve, (b) the mean and dispersion of interest rate beliefs help explain the mean and the stochastic volatility of the term structure, suggesting that time-varying risk premia may be explained by endogenous uncertainty caused by heterogeneous beliefs in the economy.I am indebted to Mordecai Kurz, Timothy Cogley and Narayana Kocherlakota for constant support and extensive discussions that inspired this work. I would like to thank Randall Moore for providing the Blue Chip financial forecast data. The financial support from the Smith Richardson Foundation to the Stanford Institute for Economic Policy Research is gratefully acknowledged.