Testing Gaussianity and Linearity of Japanese Stock Returns

In this article, we first investigate the Gaussianity of Japanese stock return time series (214 daily, 18 weekly) by the Gaussianity test proposed by Kariya, Tsay, Terui and Li (1994) comprehensively and consistently. And it is observed that all the series are not Gaussian when the 6th order moment structures are taken into account. Up to the 4th order moments there are some series which are compatible with the Gaussianity. Secondly, we apply five well-known nonlinearity tests for stationary time series to the data set and examine the specific nonlinearity of the series. Some series strongly exhibit the specific types of nonlinearity. Typically the Nikkei daily index shows the TAR (Threshold Autoregressive) type nonlinearity. Comparing daily return series with weekly series, it is also shown that a central limit effect is working on the weekly stock returns, where daily information is accumulated over a week, in the sense that weekly returns are relatively closer to Gaussian.     

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.     

Federal Reserve Monetary Policy and Industry Stock Returns

Recent studies identify stock return patterns associated with changes in Federal Reserve monetary policy. We find that these return patterns prevail across sixteen industry stock indices. However, significant cross-industry variation exists as the apparel industry exhibits mean annual returns that are 50% higher under an expansive Fed policy than under a restrictive policy, while the same return difference for the oil industry is only 20%. This cross-industry variation suggests that monetary conditions may be used by investors to estimate different expected returns across industries. Furthermore, the findings support the view that monetary considerations should be considered in ex ante asset pricing models such as the CAPM.     

The Cross-Section of Expected Stock Returns: New Evidence from an Emerging Market

Over 300 factors have been found to explain the cross-section of expected stock returns. Empirical studies also show that findings from multifactor asset-pricing models have not been consistent in an emerging market. Using DuPont analysis and a residual income valuation model for 284 nonfinancial companies on Ho Chi Minh Stock Exchange during the period 2008–2014, findings suggest that the return on equity and its change are informative for stock returns in Vietnam. In addition, the level of capital turnover, financial cost ratio (FCR), and changes in capital and in the FCR contain incremental explanatory power for stock returns.     

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.     

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.     

Dividend Stability, Dividend Yield and Stock Returns: UK Evidence

This paper establishes an empirical role for two measures of dividend stability (as a proxy for dividend policy) in explaining UK stock returns. There is little systematic empirical evidence concerning the relation between dividend stability, dividend yield and stock returns despite the fact that a variety of theoretical models point to dividend policy as an important stock attribute. Here we construct two definitions of dividend stability, one of which involves dividend cuts, and use a sample of all listed UK firms from 1975 to 1997 to explore the relationship between stock returns and a variety of characteristics, including dividend stability. We find an inverse correlation between the stability of past dividend policy and systematic risk. Both stability measures have explanatory power over returns, but this is concentrated in January.     

Dividend Stability, Dividend Yield and Stock Returns: UK Evidence

This paper establishes an empirical role for two measures of dividend stability (as a proxy for dividend policy) in explaining UK stock returns. There is little systematic empirical evidence concerning the relation between dividend stability, dividend yield and stock returns despite the fact that a variety of theoretical models point to dividend policy as an important stock attribute. Here we construct two definitions of dividend stability, one of which involves dividend cuts, and use a sample of all listed UK firms from 1975 to 1997 to explore the relationship between stock returns and a variety of characteristics, including dividend stability. We find an inverse correlation between the stability of past dividend policy and systematic risk. Both stability measures have explanatory power over returns, but this is concentrated in January.     

Mean Reversion of Short-Horizon Stock Returns: Asymmetry Property

In this paper, we explore nonlinearity inherent in short-horizon return dynamics, which is characterized by an asymmetric mean-reverting property. Over the period of 1962:07–2003:12, both daily and weekly returns of three market indexes and individual stock returns exhibit a strong asymmetric reverting pattern in which a negative return reverts more quickly, with a greater reverting magnitude, than positive returns revert to negative returns. The observed asymmetric reverting pattern is not justified under the positive relationship between future volatility and risk premium, which is a key presumption in the time-varying rational expectation hypothesis. The asymmetric reverting behavior of stock returns explored by this paper corroborates the argument for the relative performance of “winner' and “loser' stocks that has been documented by contrarian literature. JEL Classification: 14, C40, C51     

Stock Returns Under High Inflation and Interest Rates: Evidence from the Brazilian Market

We analyze the relationship of high inflation and interest rates with stock returns in Brazil from May 1986 to May 2011, during which Brazil experienced subperiods of both high inflation (May 1986-June 1994) and relative monetary stability (July 1994-May 2011). The result in the total period is dominated by high inflation volatility, and the findings suggest a bidirectional relationship between stock returns and inflation. During the high-inflation subperiod, interest rates are relevant to explain future changes in inflation and stock returns. Under low inflation, movements in interest rates are better anticipated by equity investors, suggesting higher market efficiency than in high-inflation circumstances.     

Stock Returns and the Business Cycle

This article examines whether movements in economic factors dictated by the dividend discount model can explain broad movements in stock returns over the business cycle. As anticipated, stock returns decrease throughout economic expansions and become negative during the first half of recessions. Returns are largest during the second half of recessions, suggesting an important role for expected earnings. These results are consistent with the notion that expected stock returns vary inversely with economic conditions, yet suggest that realized returns are especially poor indicators of expected returns prior to turning points in the business cycle.     

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。     

Volatility Spillovers Between Stock Returns and Exchange Rate Changes: International Evidence

We investigate interdependencies between stock returns and exchange rate changes for six industrialised countries, namely the US, the UK, Japan, Germany, France and Canada, by testing for volatility spillovers using a bivariate EGARCH model. Volatility spillovers from stock returns to exchange rate changes are found for all countries except Germany. These spillovers are symmetric in nature. No evidence is found of volatility spillovers from exchange rate changes to stock returns for any country. Spillovers from stock returns to exchange rate changes have increased since October 1987. This finding is consistent with the notion that international financial markets have become increasingly integrated.     

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.     

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。     

上市公司会计信息与股票超额收益率关系的实证研究

从上市公司年报信息出发,本文首先借助FSCORE方法建立了对上市公司会计信息的综合分析评价方法,随后以上海证券交易所A股上市公司1998年4月至2007年4月的数据进行实证研究,分析上市公司会计信息综合评价所获分数的高低与公司股票前后连续三年的超额收益率的相关关系。研究结果表明：上市公司的T年年报会计信息综合评估得分与T-1年和T＋1年公司股果的超额收益率都没有显著的相关关系,而与当年的公司股票的超额收益率呈现出显著的正相关关系,该结论对大中规模公司仍然显著。     

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.     

The Causal Relationship Between Economic Policy Uncertainty and Stock Returns in China and India: Evidence from a Bootstrap Rolling Window Approach

This article applies a bootstrap rolling-window causality test to assess the causal relationship between economic policy uncertainty (EPU) and stock returns in China and India. Empirical literature examining causality between two time series may suffer from inaccurate results when the underlying full-sample time series have structural changes. However, the bootstrap rolling-window approach enables us to identify possible time-varying causalities between time series based on sub-sample data. Using a twenty-four-months rolling window over the period 1995:02 to 2013:02 in China and 2003:02–2013:02 in India, we do find that there are bidirectional causal relationships between EPU and stock returns in several sub-periods rather than in the whole sample period. However, the association between EPU and stock returns is, in general, weak for these two emerging countries. Our findings have important implications for policy makers and investors.