人民币汇率波动与中国股票价格报酬之间的相关性——基于2005年至2007年的实证分析

本文以2005年7月21日至2007年9月18日的中国股价与人民币兑美元的名义汇率数据,利用GARCH模型来探讨在这段时间内人民币汇率波动对中国股票价格报酬的影响。实证结果得知,在这段时间内人民币兑美元名义汇率波动是负向影响中国股票价格报酬的,也符合有价证券余额理论的主张;汇率市场对股票市场的影响在宏观决策中应予以高度重视。     

An Examination of Cross-Sectional Realized Stock Returns using a Varying-Risk Beta Model

Using the dual-beta model of Bhardwaj and Brooks (1993), this study examines the cross-section of realized stock returns. Bull-market betas are significantly positively related to returns and, except for some models in January, bear-market betas are significantly negatively related to returns. These relationships are not lost even after other independent variables, including size, book-to-market equity, and an earnings-price ratio, are added to the cross-sectional regressions. Book-to-market equity is an important factor in bear, but not bull, markets. Size is important in January and in bear markets during February through December.     

The Dynamic Relation Between Stock Returns, Trading Volume, and Volatility

We examine the dynamic relation between returns, volume, and volatility of stock indexes. The data come from nine national markets and cover the period from 1973 to 2000. The results show a positive correlation between trading volume and the absolute value of the stock price change. Granger causality tests demonstrate that for some countries, returns cause volume and volume causes returns. Our results indicate that trading volume contributes some information to the returns process. The results also show persistence in volatility even after we incorporate contemporaneous and lagged volume effects. The results are robust across the nine national markets.     

Empirical Analysis of Stock Returns and Volatility: Evidence from Seven Asian Stock Markets Based on TAR-GARCH Model

This paper investigates the time-series behavior of stock returns for seven Asian stock markets. In most cases, higher average returns appear to be associated with a higher level of volatility. Testing the relationship between stock returns and unexpected volatility, the evidence shows that four out of seven Asian stock markets have significant results. Further analyzing the relationship between stock returns and time-varying volatility by using Threshold Autoregressive GARCH(1,1)-in-mean specification indicates that the null hypothesis of no asymmetric effect on the conditional volatility is rejected for the daily data. However, the null cannot be rejected for the monthly data.     

A Note on the Predictability of UK Stock Returns

This note presents evidence on the predictability of UK stock returns using a database of companies in the FTSE-Allshare Index newly constructed towards the beginning of 1998. The tests used are autocorrelations at various lags and variance ratios for several aggregations of base observations. The evidence is consistent with that published for US stock returns, namely that daily stock returns contain a strong element of predictability.     

Political Connection and Stock Returns: A Longitudinal Study

A stock market should display informational efficiency and, therefore, should appropriately reflect the value of political connections, if any value exists. Using a comprehensive data set that incorporates both obvious and less obvious political connections to firms in Thailand, we provide a longitudinal study which shows that higher realized stock returns are systematically associated with political connectedness. Consistent with the view that such a relationship provides economic rents, this finding is particularly prominent in more regulated industries. The politically connected premium is higher for higher level political connections and when the political bodies hold an equity stake in the firm.     

对我国股票收益率与通货膨胀率关系的解释：1992-2007

股票收益率和通货膨胀率之间既可以正相关,也可以负相关。如果通货膨胀率的上升动力来自于供给冲击,那么两者负相关;如果来自于需求冲击则正相关。同一时期的正负相关关系取决于供给和需求冲击动力的相对重要性。对我国1992年5月至2007年8月实践的检验表明,整个样本期间内股票收益率和通货膨胀率相关性不明显。在1992年5月至1999年12月期间,供给冲击大于需求冲击的影响,导致股票收益率和通货膨胀率负相关,但2000年1月至2007年8月,同样是供给冲击大于需求冲击的影响,却导致两者正相关。其中的原因在于,2000年后国民经济中供需结构失衡,名义上的供给冲击转变成实际上的需求冲击,从而导致股票收益率和通货膨胀率正相关。政策当局在吸收过多流动性的同时,应加快经济结构调整,从根本上解决供需失衡问题。     

Are Economically Significant Stock Returns and Trading Volumes Driven by Firm‐specific News Releases?

This paper explores whether firm‐specific information events drive economically relevant positive and negative stock price changes and trading volume and, if so, the nature of such information. We find that no less than 65% of significant price changes and trading volume movements in our sample of FTSE 350 companies can be readily explained by public domain information contradicting the thesis that corporate news is not a primary driver, and that share price changes and trading volume activity are driven by factors unrelated to information flows per se. In addition, we find that a parsimonious set of news categories represent the key drivers. Sell‐side analyst stock recommendations and earnings forecast revisions as a class, unaccompanied by other news releases, dominate all other news categories in terms of significant market reaction. However, taking into account the relative magnitude of market response to different news releases, firms' formal accounting disclosures dominate within this domain. As such, we conclude these are not fully anticipated by apparently more timely market disclosures, and that the existence of news services and the activities of the sell‐side analyst are not substitutes for a firm's interim and preliminary results.     

Demographic Change and Pharmaceuticals' Stock Returns

We analyse how demographic change affected profits and returns across pharmaceutical industries over the last 20 years. Fluctuations in different age group sizes influence the estimated demand changes for age‐sensitive drugs, such as antibacterials for young, antidepressants for middle‐aged, and antithrombotics for old people. These demand changes are predictable as soon as a specific age group is born. We use consumption and demographic data to forecast future consumption demand growth for drugs caused by demographic changes in the age structure. We find that long‐term forecast demand changes predict abnormal annual pharmaceutical stock returns for more than 60 firms over the time period from 1986 to 2008. An increase by one percentage point of annual demand growth due to demographic changes predicts an increase in abnormal yearly stock returns in the size of 3–5 percentage points. Short‐term forecast demand changes does predict negative abnormal stock returns for a time horizon below 5 years. A trading strategy taking advantage of the demographic information earns a significant abnormal return between 6 and 8 percentage points per year. Our results are consistent with the model by DellaVigna and Pollet (2007) , where investors are inattentive with extrapolation in the distant future and overreact to information in the near future.     

Investor Sentiment and Stock Returns: Evidence from Turkey

This paper investigates the relation between investor sentiment and stock returns on the Istanbul Stock Exchange, employing vector autoregressive (VAR) analysis and Granger causality tests. The sample period extends from July 1997 to June 2005. In the VAR models, stock portfolio returns and investor sentiment proxies are used as endogenous variables. Two dummy variables accounting for natural and economic crises are used as exogenous variables. The analysis results suggest that, excepting shares of equity issues in aggregate issues, stock portfolio returns seem to affect all investor sentiment proxies, namely closed-end fund discount, mutual fund flows, odd-lot sales-to-purchases ratio, and repo holdings of mutual funds. Investor sentiment does not appear to forecast future stock returns; only the turnover ratio of the stock market seems to have forecasting potential.     

Relations Between Stock Returns and Fundamental Variables: Evidence from a Segmented Market

This study examines relations between stock returns and potential explanatory factors in Korea, an important and segmented emerging market. Our results show that Korean stock returns in general and returns on stocks listed in Section 1 in particular are significantly positively related to book-to-market, sales-price, and debt-equity ratios, but not significantly related to market value of equity. Returns on stocks listed in Section 2 are, however, negatively related to market value of equity and not significantly related to the other three variables. Among the variables investigated by us, book-to-market ratio has the greatest explanatory power for stock returns and it indicates superior returns for value stocks. Our findings strengthen the international evidence of the role of book-to-market ratio in explaining stock returns by demonstrating its significance even in the segmented Korean market.     

Structural Breaks and Predictive Regression Models of Aggregate U.S. Stock Returns

In this article we examine the structural stability of predictiveregression models of U.S. quarterly aggregate real stock returnsover the postwar era. We consider predictive regressions modelsof S&P 500 and CRSP equal-weighted real stock returns basedon eight financial variables that display predictive abilityin the extant literature. We test for structural stability usingthe popular Andrews SupF statistic and the Bai subsample procedurein conjunction with the Hansen heteroskedastic fixed-regressorbootstrap. We also test for structural stability using the recentlydeveloped methodologies of Elliott and Müller, and Baiand Perron. We find strong evidence of structural breaks infive of eight bivariate predictive regression models of S&P500 returns and some evidence of structural breaks in the threeother models. There is less evidence of structural instabilityin bivariate predictive regression models of CRSP equal-weightedreturns, with four of eight models displaying some evidenceof structural breaks. We also obtain evidence of structuralinstability in a multivariate predictive regression model ofS&P 500 returns. When we estimate the predictive regressionmodels over the different regimes defined by structural breaks,we find that the predictive ability of financial variables canvary markedly over time.     

Operating Performance and Stock Returns of Firms Calling Convertible Preferred Stocks

Abstract:   Using methodologies developed by Barber and Lyon (1996 and 1997 ), we examine the long‐run operating performance and stock returns of firms around in‐the‐money calls of convertible preferred stock. Our study intends to be a direct test of the hypothesis that managers call in‐the‐money convertibles when they view a decline in the firms' performance. We find no evidence that calling firms underperform non‐calling benchmark firms. On the contrary, we find mild evidence that the post‐call operating performance of calling firms is better than a carefully selected group of benchmark firms and call firms' post‐call stock returns are no worse than benchmark firms.     

The Usefulness of Book-to-Market and ROE Expectations for Explaining UK Stock Returns

Abstract:  The fundamental valuation perspective on stock returns suggests that book-to-market will be positively related to returns if market value of equity equals future expected cash flows discounted at the expected return and book value proxies for future cash flows. Building on this perspective, we develop a log linear model which includes expectations of future BM and ROE in addition to current BM as explanatory variables for future stock returns. We show that these three variables explain a significant part of UK cross-sectional stock returns and that they remain highly statistically significant after including additional risk proxy variables. This supports relevance of fundamental valuation based firm characteristics for explaining stock returns and indicates their potential usefulness for predicting future stock returns.     

The Performance of Long-run Stock Returns Following Issues of Public and Private Debt

This study uses a balance sheet-based method to identify both public and private debt issues. This feature is important because there have been no studies of the information content of private debt issues, while private debt is substantially more prevalent than public debt. We find no abnormal returns following straight debt issues. However, convertible debt issuers under-perform the market on the order of 50 to 70 percent in the following five years. In pursuit of explanations, we find that convertible debt issues signal a deterioration of future profitability, which accounts for at least part of the stock price underperformance.     

A Reexamination of Real Stock Returns,Real Interest Rates,Real Activity,and Inflation: Evidence from a Large Data Set

Using the informational sufficiency procedure from Forni and Gambetti (2014) along with data from McCracken and Ng (2014), we update the results of Lee (1992) and find that his vector autoregression (VAR) is informationally deficient. To correct this problem, we estimate a factor augmented VAR (FAVAR) and analyze the differences once informational deficiency is corrected with an emphasis on the relationship between real stock returns and inflation. In particular, we examine Modigliani and Cohn's (1979) inflation illusion hypothesis, Fama's (1983) proxy hypothesis, and the “anticipated policy hypothesis.”     

Transmission of Stock Returns and Volatility between the U.S. and Japan: Evidence from the Stock Index Futures Markets

In this paper, we examine the nature of transmission of stock returns and volatility between the U.S. and Japanese stock markets using futures prices on the S&P 500 and Nikkei 225 stock indexes. We use stock index futures prices to mitigate the stale quote problem found in the spot index prices and to obtain more robust results. By employing a two-step GARCH approach, we find that there are unidirectional contemporaneous return and volatility spillovers from the U.S. to Japan. Furthermore, the U.S.'s influence on Japan in returns is approximately four times as large as the other way around. Finally, our results show no significant lagged spillover effects in both returns and volatility from the Osaka market to the Chicago market, while a significant lagged volatility spillover is observed from the U.S. to Japan. This revised version was published online in August 2006 with corrections to the Cover Date.     

Order Flows and Stock Returns: Compensation for Market Makers with Inventory Concerns

We investigate whether market makers with inventory concerns are compensated with subsequent monthly returns in the cross‐section. We find a significant negative relation between order flows and monthly returns, “the order flow effect,” suggesting that market makers lower prices for stocks with sell order flows and demand a reward in the form of higher expected returns. Further, the order flow effect is stronger for high‐volatility or high‐volume stocks for which market makers have serious inventory concerns. Funding liquidity of market makers also affects the order flow effect. Finally, our finding is independent of existing regularities and robust to the decimalization.