中国股票市场行为与投资者情绪

The relationship among stock returns, market volatilities and individual investor sentiment is an important topic in behavioral economics and finance. This paper uses a unique data set—China’s newly opened stock trading accounts to test the relationships among stock returns, volatilities and individual investor sentiment in the Chinese stock market. It is found that there is a positive relationship between shifts in sentiment and stock returns, and that shifts in sentiment are negatively correlated with market volatility, that is to say, volatility increases (decreases) when investors become more bearish (bullish).      

Wealth‐to‐Income Ratio and Stock Market Movements: Evidence from a Nonparametric Causality Test

We use a nonparametric causality‐in‐quantile test to analyze the predictive ability of the wealth‐to‐income ratio (wy) for excess stock returns and their volatility. Our results reveal that the wy is nonlinearly related with excess stock returns, and hence, results from linear Granger causality tests cannot be deemed robust. When we apply the nonparametric causality‐in‐quantile test, we find that the wy can predict excess stock returns over the majority of the conditional distribution, with the exception being the extreme ends, that is, when the market is in deep bear or bull phases. However, the wy has no predictability for the volatility of excess stock returns.     

投资者情绪与沪深300股指期货定价偏差关系研究

股指期货已发展成为全球金融衍生品主流品种,股指期货定价问题事关市场套利行为,一直备受投资者关注。本文基于投资者情绪视角,运用VAR模型、脉冲响应、方差分解等方法,深入探讨沪深300股指期货定价偏差与投资者情绪的关系。研究发现:投资者情绪与沪深300股指期货定价偏差之间构成因果关系,且呈现正向影响;股指期货定价偏差受投资者情绪影响而长期存在,其对投资者情绪的影响短期效果显著。     

Investor Sentiment and Stock Market Volatility: Evidence from India

In this article, the authors probe the role of irrational investor sentiment in the determination of Indian stock market volatility. The authors developed a new irrational aggregate sentiment index (IASI) to examine the issue. The conditional volatility is extracted from the nonlinear univariate models for the market indices and the IASI. The vector autoregression (VAR) is carried out to analyze the relationship between the volatility of irrational aggregate sentiment index and stock market volatility. The authors find a unidirectional causality from sentiment to stock market volatility, and their findings highlight the significance of sentiment in explaining the stock market volatility in India.     

Stock market development and economic growth: Evidence from seven sub-Sahara African countries

The paper examines the long run and causal relationship between stock market development and economic growth for seven countries in sub-Saharan Africa. Using the autoregressive distributed lag (ARDL) bounds test, the study finds that the stock market development is cointegrated with economic growth in Egypt and South Africa. Moreover, this test suggests that stock market development has a significant positive long run impact on economic growth. Granger causality test based on vector error correction model (VECM) further shows that stock market development Granger causes economic growth in Egypt and South Africa. However, Granger causality in the context of VAR shows evidence of bidirectional relationship between stock market development and economic growth for Cote D’Ivoire, Kenya, Morocco and Zimbabwe. In Nigeria, there is a weak evidence of growth-led finance using market size as indicator of stock market development. Based on these results, the paper argues that stock markets could help promote growth in Africa. However, to achieve this goal, African stock markets need to be further developed through appropriate regulatory and macroeconomic policies.     

Dependence between the global gold market and emerging stock markets (E7+1): Evidence from Granger causality using quantile and quantile‐on‐quantile regression methods

This study examined the dependence between gold and stocks during 2002–18 in seven emerging countries. The study combined the bivariate cross‐quantilogram introduced recently with quantile‐on‐quantile regression (QQR) approaches to conduct comprehensive and complementary analyses. The QQR results for the full sample revealed a weak positive dependence in all the quantiles of gold and stock returns across all the countries selected during mild market conditions. The results for pre and post‐crisis periods largely were consistent with those obtained for the full sample, except for Turkey (pre‐crisis), and China and Indonesia (post‐crisis). The results of the causality test‐in‐mean (return) and that of the causality test‐in‐variance revealed no causal relation between stock and gold in the pre‐crisis period, while causality ran only from gold to some stocks in the post‐crisis period. Further, while there was volatility causality running only from gold to stocks during the pre‐crisis period, the volatility causality between the two markets was very high during the post‐crisis period. Therefore, we suggest that gold may have been a hedge for stocks during the pre‐crisis compared to the post‐crisis period. Further, international risk factors should be considered in optimal investment decisions between domestic and global markets' assets (stocks and gold).     

我国股票市场收益、交易量、波动性动态关系的实证分析

本文对我国股票市场上证指数和深圳成指的收益、交易量、波动性之间的动态关系进行了实证研究,研究结果表明:收益和绝对收益与交易量之间均存在正相关关系;收益与交易量以及绝对收益与交易量之间存在双向Granger因果关系(线性或非线性);深圳成指收益的波动方差对收益具有正向作用,而上证指数收益的波动方差对收益没有直接的影响;上证指数和深圳成指的成交量对股指收益的波动方差不具有解释作用.     

Does Investor Sentiment Predict the Near‐Term Returns of the Chinese Stock Market?

Recent evidence on the relationship between investor sentiment and subsequent monthly market returns in China shows that investor sentiment is a reliable momentum predictor since an increase (decrease) in investor sentiment leads to higher (lower) future returns. However, we suggest that momentum predictability of investor sentiment originates from the boom and bust period of 2006–2008 (the bubble period hereafter). The bubble period is characterized by several months of sustained optimism followed by several months of sustained pessimism, with the market consequently earning high (low) returns following high (low) sentiment months. Therefore, we find a strong positive association between investor sentiment and subsequent market returns during the bubble period. However, investor sentiment has a negligible impact on subsequent monthly market returns once we exclude the bubble period.     

Customer satisfaction as a buffer against sentimental stock-price corrections

Previous research has shown that customer satisfaction is a market-based asset that can contribute to a firm’s value by increasing its stock-market returns, while simultaneously reducing the riskiness of these returns. This study contributes to the growing literature on the marketing–finance interface by examining the relationship between customer satisfaction and a type of risk that has not been previously studied in the marketing literature: the vulnerability of a firm’s stock price to the stock-market corrections that typically follow periods of high investor sentiment. The results show that customer satisfaction can function as a buffer against the risk of such sentimental stock-price movements and reduces their negative impact on a firm’s market value. In particular, we find that firms with higher (lower) levels of customer satisfaction exhibit smaller (greater) price corrections and higher returns after periods of high investor sentiment.     

Volatility Spillovers and the Risk-Return Relation Between Stock and Foreign Exchange Markets in Brazil

We examine the evidence of mean and volatility spillovers between stock and foreign exchange markets in Brazil with multivariate GARCH models and nonlinear Granger causality tests. We also use a multivariate GARCH-in-mean model to assess the relationship between risk and return in these markets. The results indicate that the stock market leads the foreign exchange market in price formation and that nonlinear Granger causalities from the exchange market to the stock market do occur. Part of these nonlinear causalities are explained by volatility spillovers. We show that exchange rate volatility affects not only stock market volatility but also stock returns.     

The relationship between currency carry trades and U.S. stocks

The article examines the relationship between daily returns of currency carry trades and U.S. stocks from January 1995 through September 2010. Carry trade and stock returns are highly correlated with no Granger‐causality in either direction. An EGARCH model shows that significant volatility spillovers flow from the stock market to the carry‐trade market, but not vice versa. The markets are more correlated in periods of high volatility. Volatilities in both markets also increase more with negative innovations than positive innovations. A sectoral analysis of the index suggests that volatilities of cyclical stocks have more impact than noncyclical stocks on carry trades.     

Asymmetric effects of investor sentiment on industry stock returns: Panel data evidence

This article employs a state-of-the-art panel threshold model by allowing for regime intercepts, in order to shed new light on the asymmetric/nonlinear effects of local and global sentiments on expected industry stock returns among 11 Asian countries during the period from 1996 to 2010. Empirical evidence demonstrates that once the regime intercept is included, the asymmetric effects of global sentiment on oil & gas, financials, and health care industry returns become less under optimism, as compared with under pessimism. More critically, the positive (negative) impact of global sentiment above (under) the threshold turns significant, indicating that global optimism leads industry returns to be overvalued, while pessimism leads them to be undervalued. For local market sentiment, our results support that higher local sentiment enhances the returns of basic materials, telecommunications, and utilities industries. The empirical results confirm that the nexus of industry returns and investor sentiments is subject to change between different sentimental intervals.     

Dynamics of FII flows and stock market returns in a major developing country: How does economic uncertainty matter?

We apply the wavelet coherency and phase difference methodology to explore the nature of the relationship and the direction of causality between foreign institutional investment (FII) flows and stock market returns across time and frequency domain for the fast-growing Indian economy. Since both variables are affected by economic uncertainty, we have estimated the partial wavelet coherency and the phase difference to discern the impact of economic uncertainty on the dynamic relationship and causality between those variables. Both the FII flows and the stock market return move together during the periods of the global financial crisis and the European sovereign debt crisis without any causality in the short run, but the stock market leads the FII inflows in the long run. However, in the bull market the stock market Granger causes the FII inflows both in the short run and in the long run. Nonetheless, economic uncertainty drives the co-movement and also masks the causality effect between those two variables. Thus, the results require policymakers to set out a transparent economic environment to reap the benefits of FII flows. As far as the FII outflows are concerned, profit booking and economic uncertainty drive the relationship and the causality in the short run. Hence, policymakers and portfolio managers should be concerned about FII outflows in the long run, while in the short run, it is a normal trading activity.     

Putting the Cart before the Horse? Re-Examining the Relationship between Domestic Savings and Economic Growth in Selected Sub-Saharan African Countries

In addition to the standard Granger causality, this paper employs the Toda–Yamamoto approach and instantaneous causality test to examine the causal relationship between domestic savings and economic growth in 10 sub-Saharan African countries utilizing time series data. Findings from both the standard Granger causality and Toda–Yamamoto approach are consistent and robust only in five countries where domestic savings and economic growth are completely independent in three countries. For the remaining two, causality runs from savings to growth. However, for the other five countries, findings produced from both causality tests are grossly inconsistent and mixed leaving us under a quandary although the Toda–Yamamoto test is often reliable on account of its ability to avoid misleading results associated with the asymptotic nature of the standard Granger causality test. Our findings further reveal an instantaneous unidirectional causality from domestic savings to economic growth for only Benin, Mali, and South Africa suggesting that savings-led growth is rapid for these countries. We conclude based on our findings that the myriad of ‘evidence’ in earlier studies on savings-growth causality should be treated with caution given that methodological differences can produce misleading results with the potential of misdirecting policy.     

Is exchange rate stability beneficial for stabilizing consumer prices in China?

This study examines the relationship between real effective exchange rates (REERs) and the consumer price index (CPI) in China, utilizing a bootstrap Granger full-sample causality test and a sub-sample rolling-window estimation. Considering structural changes, we assess the stability of the parameters and find that both the short-run and long-run relationships between the two estimated variables are unstable. This result suggests that full-sample causality tests cannot be relied upon. We instead employ a time-varying (bootstrap) rolling-window approach to revisit the dynamic causal relationship, and we find that the CPI is affected by the REER for several sub-samples due to the role of exchange rate pass-through (ERPT) under the managed floating exchange rate regime in China. These findings provide further proof of the impact of stable exchange rates on the maintenance of relatively steady price levels especially during the economic crisis and economic reform in China. The policy implication of these findings is that maintaining exchange rate stability is beneficial for controlling inflation during the economic crisis and economic reform.     

金融危机背景下汇市与股市关系实证研究

本文建立了由上证综指、汇率、利率与道·琼斯指数构成的多变量VAR模型,运用Granger因果检验、脉冲响应函数与方差分解技术分析了金融危机背景下外汇市场与股票市场关系.实证分析结果表明:我国金融市场上汇率变动对股票价格有明显的短期作用,而股票价格变动对汇率没有影响;美国股市波动对我国股市的短期冲击超过人民币汇率对股市的冲击;我国的利率调整对汇率有短期效应,但对股票价格无影响.     

香港对外贸易与经济增长和产业结构升级——“一国两制”和改革开放的成功结合与实践

对香港1987～2007年时间序列数据单位根检验的基础上,验证对外贸易、经济增长与产业结构三者之间的Granger因果关系.研究发现,香港包括港产品出口、转口和进口在内的对外贸易与经济增长之间存在双向Granger因果关系;同时经济增长与产业结构之间也存在双向因果关系.通过对香港的研究进一步发现,香港地区对外贸易与经济增长,经济增长与产业结构之间能互为因果形成较好的经济运行状态,很大程度上得益于"一国两制"在香港的成功实践与内地改革开放的成功结合.     

FX Market Returns and Their Relationship to Investor Fear

This note examines the relationship between changes in levels of investor fear (measured by the implied volatility index) and foreign exchange market returns. Our empirical results indicate a negative relationship between daily returns on high‐interest rate (investing) currencies and changes in the implied volatility index, while the association is positive for low‐interest rate (funding) currencies. That is, investing (funding) currencies tends to depreciate (appreciate) when investor fear increases. A sequential breakpoint test identifies a significant change in this relationship in the period following the 2008 collapse of Lehman Brothers, and another in 2012 following the resolution of the European sovereign debt crisis, which suggests that the relationship is linked to financial system liquidity. During the crisis period, currency returns are much more sensitive to changes in investor fear, and this is particularly so for funding currencies that are perceived to present a safe‐haven. The results have important implications for international finance, and those looking to speculate via the carry trade.     

产业内贸易与经济增长:基于协整关系的分析

运用Engle-Granger协整关系检验法和Granger因果关系检验法,利用修正后的产业内贸易指数,对我国1985-2007年间产业内贸易与经济增长之间关系进行实证研究。结果显示这两者之间存在长期稳定的关系,产业内贸易与我国经济增长之间存在双向因果关系,并提出相应的政策建议。     

Predicting Stock Market Movements in the United States: The Role of Presidential Approval Ratings*

In this paper we analyze whether presidential approval ratings can predict the S&P 500 returns over the monthly period of July 1941 to April 2018, using a dynamic conditional correlation multivariate generalized autoregressive conditional heteroscedasticity (DCC‐MGARCH) model. Our results show that standard linear Granger causality test fail to detect any evidence of predictability. However, the linear model is found to be misspecified due to structural breaks and nonlinearity, and hence, the result of no causality from presidential approval ratings to stock returns cannot be considered reliable. When we use the DCC‐MGARCH model, which is robust to such misspecifications, in 69% of the sample period, approval ratings in fact do strongly predict the S&P 500 stock return. Moreover, using the DCC‐MGARCH model we find that presidential approval rating is also a strong predictor of the realized volatility of S&P 500. Overall, our results highlight that presidential approval ratings is helpful in predicting stock return and volatility, when one accounts for nonlinearity and regime changes through a robust time‐varying model.