Volatility timing in mutual funds: evidence from daily returns

I use daily mutual fund returns to shed new light on the questionof whether or not mutual fund managers are successful markettimers. Previous studies find that funds are unable to timethe market return. I study the funds' ability to time marketvolatility. I show that volatility timing is an important factorin the returns of mutual funds and has led to higher risk-adjustedreturns. The returns of surviving funds are especially sensitiveto market volatility; those of nonsurvivors are not.     

Using daily stock returns: The case of event studies

This paper examines properties of daily stock returns and how the particular characteristics of these data affect event study methodologies. Daily data generally present few difficulties for event studies. Standard procedures are typically well-specified even when special daily data characteristics are ignored. However, recognition of autocorrelation in daily excess returns and changes in their variance conditional on an event can sometimes be advantageous. In addition, tests ignoring cross-sectional dependence can be well-specified and have higher power than tests which account for potential dependence.     

The search for evidence of chaos in FTSE-100 daily returns

This study provides an elementary discussion of deterministic chaos as it applies to security returns. the study demonstrates a simple technique, well known in the physical sciences, for discriminating between random and chaotic time-series. Applying the technique to a time-series of daily returns on the FTSE-100, an index comprised of the stocks of the 100 largest British firms, results in evidence that the time-series is random, not chaotic.     

Quantile forecasts of daily exchange rate returns from forecasts of realized volatility

Quantile forecasts are central to risk management decisions because of the widespread use of Value-at-Risk. A quantile forecast is the product of two factors: the model used to forecast volatility, and the method of computing quantiles from the volatility forecasts. In this paper we calculate and evaluate quantile forecasts of the daily exchange rate returns of five currencies. The forecasting models that have been used in recent analyses of the predictability of daily realized volatility permit a comparison of the predictive power of different measures of intraday variation and intraday returns in forecasting exchange rate variability. The methods of computing quantile forecasts include making distributional assumptions for future daily returns as well as using the empirical distribution of predicted standardized returns with both rolling and recursive samples. Our main findings are that the Heterogenous Autoregressive model provides more accurate volatility and quantile forecasts for currencies which experience shifts in volatility, such as the Canadian dollar, and that the use of the empirical distribution to calculate quantiles can improve forecasts when there are shifts.     

The affine styled-facts price dynamics for the natural gas: evidence from daily returns and option prices

This study analyzes affine styled-facts price dynamics of Henry Hub natural gas price by incorporating the price features of jump risk, and seasonality within stochastic volatility framework. Affine styled-facts dynamics has the advantage of being able to incorporate mean reversion (MR), stochastic volatility (SV), seasonality trends (S), and jump diffusion (J) in a standardized inclusive framework. Our main finding is that models that incorporate jumps significantly improve overall out-of-sample option pricing performance. The combined MRSVJS model provides the best fit of both daily gas price returns and the related cross section of option prices. Incorporating seasonal effects tend to provide more stable pricing ability, especially for the long-term option contracts.     

中期和长期国债收益率的非线性协和关系及动态调整

本文分析探讨一种用于揭示非平稳时间序列非线性调整过程的模型——两机制门限协和模型,深入研究了该模型的参数估计、检验统计量,并通过自助法模拟计算其检验统计量临界值及P值。鉴于我国中期和长期国债收益率之间存在协和关系,但由于经济主体调整行为的不连续性,这种协和关系往往表现为非线性调整过程,利用传统线性向量误差修正模型无法揭示这种调整过程。为此,本文利用两机制门限协和模型研究我国的中期和长期国债收益率的非线性调整过程,研究结果表明:我国中期和长期国债收益率存在门限非线性协和关系,并可用该模型验证期限结构理论。     

票据承兑和贴现业务差异化发展的特征、影响与政策建议

进入新世纪以来,人民银行货币政策调控的有效性、针对性和前瞻性不断增强,我国票据市场整体保持稳健发展,但票据承兑和贴现业务发展存在差异化现象,表现为票据承兑业务稳步增长,而贴现业务受金融调控影响显著。文章分析了其中的原因,探讨了两者差异化发展对市场运行的影响,并就票据市场的协调健康发展提出相关政策建议。     

国债市场新券和旧券流动性实证研究

新券和旧券流动性差异一直以来都是国际学术界被广泛关注与研究的问题，本文选择在上海证券交易所上市交易的7年期，10年期和20年期国债，利用日内交易数据。实证研究了新券与旧券的流动性问题，研究发现新券和旧券在流动性上存在显著的差异，新券的流动性要明显好于旧券的流动性，论文对产生差异的原因进行了分析。     

Overreaction of country ETFs to US market returns: Intraday vs. daily horizons and the role of synchronized trading

In this paper we study the intraday price formation process of country Exchange Traded Funds (ETFs). We identify specific parts of the US trading day during which Net Asset Values (NAVs), currency rates, premiums and discounts, and the S&P 500 index have special effects on ETF prices, and characterize a special intraday and overnight updating structure between these variables and country ETF prices. Our findings suggest a structural difference between synchronized and non-synchronized trading hours. While during synchronized trading hours ETF prices are mostly driven by their NAV returns, during non-synchronized trading hours the S&P 500 index has a dominant effect. This effect also exceeds the one that the S&P 500 index has on the underlying foreign indices and suggests an overreaction to US market returns when foreign markets are closed.     

Dividend yields and stock returns: Implications of abnormal January returns

This study examines the empirical relation between stock returns and (long-run) dividend yields. The findings show that much of the phenomenon is due to a nonlinear relation between dividend yields and returns in January. Regression coefficients on dividend yields, which some models predict should be non-zero due to differential taxation of dividends and capital gains, exhibit a significant January seasonal, even when controlling for size. This finding is significant since there are no provisions in the after-tax asset pricing models that predict the tax differential is more important in January than in other months.     

Output and expected returns

This paper shows for 1929–2003 U.S. data and also for international G-7 data that the ratio of share prices to GDP tracks a large fraction of the variation over time in expected returns on the aggregate stock market, capturing more of that variation than do price–earnings and price–dividend ratios and often also providing additional information about excess returns. The price–output ratio tracks long-term U.S. cumulative stock returns almost as well as the cay-ratio of Lettau and Ludvigson [2001a. Journal of Finance 56, 815–849, 2005. Journal of Financial Economics 76, 583–626], although the cay-ratio tracks variation in U.S. excess returns better. The price–output ratio, however, involves no parameter estimation and is easily constructed for non-U.S. countries.     

Habit persistence: Explaining cross-sectional variation in returns and time-varying expected returns

This paper uses an iterated GMM approach to estimate and test the consumption based habit persistence model of Campbell and Cochrane [Campbell, J.Y., Cochrane, J.H., 1999. By force of habit: A consumption-based explanation of aggregate stock market behavior. Journal of Political Economy 107, 205–251] on the US stock market. The empirical evidence shows that the model is able to explain the size premium, but fails to explain the value premium. Further, the state variable of the model – the surplus consumption ratio – explains counter-cyclical time-varying expected returns on stocks. The model also produces plausible low real risk-free rates despite high relative risk aversion.     

Identifying the interaction between stock market returns and trading flows of investor types: Looking into the day using daily data

This paper introduces a new method for identifying the simultaneity between returns and trading flows. The proposed method enables us to identify the intraday interaction using daily data, and provides measures of the information content of trading flows, and their instantaneous response to public information and information revealed by market prices. Applying this method to daily data on investor types from the Korea Stock Exchange, we find significant intraday bi-directional interaction between flows and returns and their latent common drivers, altering some of the results of the previous literature based on Cholesky assumptions. Thus, we obtain a number of new insights concerning the behavior of investor types.     

Treasury Auction Bids and the Salomon Squeeze

Recent press accounts claim that collusion is common practice in Treasury auctions and that as a result the auction profits are excessive. But, this paper finds that the auction prices are on average marginally higher than the secondary market bid prices. The auction profits, however, are systematically related to the total fraction of winning bids tendered by banks and dealers. The postauction prices of the two-year notes in which Salomon Brothers had a 94 percent holding are also examined. The secondary market prices of these notes were significantly higher than the estimated competitive prices in the four-week postissue period.     

Institutional trading and share returns

Using a unique database of daily transactions from Australian equity managers, we investigate the relation between institutional trading and share returns. The 34 institutional investors included in our sample exhibit a statistically and economically significant ability to predict large capitalization share returns for the ten days following their trades. Detailed analysis indicates that investment manager style is important in understanding the link between institutional trading and stock returns. The contemporaneous relation between institutional trading and returns depends on trade size, broker use, and investment style. We find growth-oriented managers are momentum traders, while style-neutral and value managers are contrarian.     

Ownership structure and target returns

Contrary to past literature, ownership defined as “all officers and directors” of the target firm has no association with target returns. Rather, we find that inside (managerial) ownership has a positive relation with target returns, whereas active-outside (non-managing director) ownership has a negative relation with target returns. Using accounting-based versus market-based performance measures, we find that the relation between inside ownership and target returns is best explained by takeover anticipation. Using bidder and synergy returns we find that the relation between outside ownership and target returns is best explained by outsiders' willingness to share gains with the bidder. While the relations are more pronounced for non-tender deals, they also hold for tender offers when active-outside ownership is corporate rather than institutional.     

Institutional trading and stock returns

In this study, we explore the dynamics of the relation between institutional trading and stock returns. We find that stock returns Granger-cause institutional trading (especially purchases) on a quarterly basis. The robust and significant causality from equity returns to institutional trading can be largely explained by the time-series variation of market returns, that is, institutions buy more popular stocks after market rises. Stock returns appear to be negatively related to lagged institutional trading. A further analysis of the behavior of trading and the returns of the traded stocks reveals evidence that stocks with heavy institutional buying (selling) experience positive (negative) excess returns over the previous 12 months.     

Convertible calls and security returns

The study examines the impact of convertible security calls on securityholder's wealth. On average common stock values fall by approximately two percent at the announcements of convertible debt calls, but common stockholder's wealth is unaffected by convertible preferred stock calls. These findings are consistent with a corporate tax effect. A small average decrease in firm value is also found at the announcements of convertible debt calls. The study raises, but leaves unanswered, the interesting question of what motivates managers to make capital structure decisions that reduce stockholder wealth and firm value.     

Financial constraints and stock returns

We test whether the impact of financial constraints on firmvalue is observable in stock returns. We form portfolios offirms based on observable characteristics related to financialconstraints and test for common variation in stock returns.Financially constrained firms' stock returns move together overtime, suggesting that constrained firms are subject to commonshocks. Constrained firms have low average stock returns inour 1968-1997 sample of growing manufacturing firms. We findno evidence that the relative performance of constrained firmsreflects monetary policy, credit conditions, or business cycles.