Volatility and correlation in international stock markets and the role of exchange rate fluctuations

This paper develops a direct, explicit model for the role of exchange rate fluctuations in international stock markets and examines how and to what extent volatility and correlations in equity markets are influenced by exchange rate fluctuations. Evidence presented in this paper indicates that a higher foreign exchange rate variability mostly increases local stock market volatility but decreases volatility for the US stock market. The extent to which stock market volatility is influenced by foreign exchange variability is greater for local markets than for the US market, due to the fact that exchange rate changes are more strongly correlated with local equity market returns than the US market returns. We find that a higher exchange rate fluctuation marginally decreases the US/local equity market correlation. While exchange rate fluctuations held a relatively large fraction of the variation in local stock market returns, there was no significant influence on the US/local equity market correlation.     

Monetary environments and international stock returns

Previous research documents that US stock returns are related to the US monetary environment. The focus of this paper is to determine whether stock returns in foreign markets are associated with both local and US monetary environments. Consistent with the US market results, we find that foreign stock returns are generally higher in expansive US and local monetary environments than they are in restrictive environments. Further, these higher returns are generally not accompanied by increases in risk. Interestingly, several of the stock markets are more strongly related to the US monetary environment than to local monetary conditions. For seven of the 15 foreign countries examined, the local and US monetary environment explain 4% or more of the variation in monthly stock returns.     

Does the location of stock exchange matter? A within-country analysis

The current study documents an interesting phenomenon that retail investors prefer to invest in stocks listed at the stock exchange that is geographically close to them in China. This pattern is robust when we control for the well-documented local bias within a country. Among companies with similar distances to both stock exchanges and companies headquartered locally, investors still display a strong tendency to invest in locally-listed stocks. Among stocks with similar distances to both stock exchanges, those listed in Shanghai (Shenzhen) co-move more in returns and trading volumes, with the benchmark at the Shanghai (Shenzhen) stock exchange. Such a preference for local exchange seems not to be motivated by information advantage, because investors do not obtain abnormal returns from their trades on stocks listed nearby. Our findings provide additional evidence that non-information-based familiarity bias induces investment and that such investor bias and exchange-level sentiment influence asset price formation.     

Sentiment stocks

To study how investor sentiment at the firm level affects stock returns, we match more than 58 million social media messages in China with listed firms and construct a measure of individual stock sentiment based on the tone of those messages. We document that positive investor sentiment predicts higher stock risk-adjusted returns in the very short term followed by price reversals. This association between stock sentiment and stock returns is not explained by observable stock characteristics, unobservable time-invariant characteristics, market-wide sentiment, overreaction to news, or changing investor attention. Consistent with theories of investor sentiment, we find that the link between sentiment and stock returns is mainly driven by positive sentiment and non-professional investors. Finally, exploiting a unique feature of the Chinese stock market, we are able to isolate the causal effect of sentiment on stock returns from confounding factors.     

Anomalías en la autocorrelación de rendimientos y la importancia de los periodos de no transacción en mercados latinoamericanos

This paper aims to determine the evidence of returns autocorrelation for the main Latin American stock markets, and the influence of the day of the week effect on this phenomenon. Also, we analyze the importance of non-trading periods and their incidence on stock markets returns. We determine a high autocorrelation in most of the stock markets analyzed, both in local and global currency and the day-of-the-week effect on only some of the stock markets. Evidence of correlation between trading periods returns and those of non-trading periods is also found.     

Investor sentiment and stock returns: Wenchuan Earthquake

This paper exploits a natural experiment (the Wenchuan Earthquake in China) to study the effects of investor sentiment on stock returns. We find that during the 12 months following the earthquake, stock returns are significantly lower for firms headquartered nearer the epicenter than for firms further away. Further analyses indicate that this pattern of stock returns does not exist before or long after the earthquake, and cannot be explained by actual economic losses or a change in systematic risk. Overall, our evidence is consistent with the interaction of local bias and investor sentiment affecting stock returns.     

The reaction of international stock markets to Federal Reserve policy

This paper investigates how changes in Federal Reserve policy impact international stock returns, with the three objectives of measuring the reaction of international stock markets, understanding the transmission channels of that reaction, and explaining the economic sources of that reaction. We find that unanticipated Federal Reserve policy actions exert a significant and robust influence on international stock prices. However, the influence of unanticipated monetary policy actions is not strong enough to change the correlation structure of international equity returns. We also find that international stock return co-movements play an important role in the transmission of monetary policy. Finally, the variance decomposition analysis indicates that the effects of monetary policy surprises on future excess returns or dividend returns account for the largest portion of the equity price response.     

Monetary environments and stock returns: International evidence based on the quantile regression technique

This paper investigates the impact of the local and the US monetary policy environments on stock returns at the different locations on the return distributions. Using data for stock returns and interest rates of 30 countries, the quantile regression technique is employed to estimate the sensitivity of the returns to monetary policy at the different points on the return distributions. The results suggest that higher returns are associated with expansionary monetary policy. Furthermore, some of the stock markets in the sample are found to react to the local, but not the US monetary environments at the lower quantiles while the response at the higher quantiles appears to be sensitive to the US, but not the local monetary conditions. These findings are further supported by the slope equality tests, discussed in Koenker & Bassett (1982), and the analysis of weighted absolute residuals (ANOWAR), proposed by Chen, Ying, Zhang, & Zhao (2008).     

Foreign and Local Institutional Ownership and the Speed of Price Adjustment

Abstract:  This paper examines the relation between the speed of price adjustment and stock ownership by foreign and local institutional investors using data from the Korean stock market. We show that returns of stocks with high foreign institutional ownership lead returns of stocks with low foreign institutional ownership, especially after foreign ownership restriction is lifted. Likewise, returns of stocks with high local institutional ownership lead returns of stocks with low local institutional ownership. These results support the idea that foreign institutional (local institutional) investors have faster access to or processing power of new information than local institutional (local individual) investors.     

Corporate Social Performance and Stock Returns: UK Evidence from Disaggregate Measures

This study examines the relation between corporate social performance and stock returns in the UK. We closely evaluate the interactions between social and financial performance with a set of disaggregated social performance indicators for environment, employment, and community activities instead of using an aggregate measure. While scores on a composite social performance indicator are negatively related to stock returns, we find the poor financial reward offered by such firms is attributable to their good social performance on the environment and, to a lesser extent, the community aspects. Considerable abnormal returns are available from holding a portfolio of the socially least desirable stocks. These relationships between social and financial performance can be rationalized by multi-factor models for explaining the cross-sectional variation in returns, but not by industry effects.     

Influence of weather on New Zealand financial securities

The present study examines the influence of four independent facets of the local weather in the two major cities of New Zealand on the interest rates of bank bills and government bonds and the returns of stock indices. Factor analysis of the local weather variables generates four independent facets measuring temperature, sunshine, wind in Auckland and wind in Wellington. The analysis is based on a repeated measures design. Two results, which are consistent within a given financial security, are observed. The prices of bank bills are positively influenced by the level of the sunshine factor. The prices of stock indices are negatively influenced by the level of the Wellington wind factor. The influence of the level of sunshine on the returns of stock indices is susceptible to two interpretations.     

ROBUSTNESS OF THE HEADQUARTERS‐CITY EFFECT ON STOCK RETURNS

Recent studies report that U.S. firms headquartered near each other experience positive comovement in their stock returns, a finding suggestive of local biases in equity trading activity. We investigate the robustness of these findings and find that including additional pricing factors in models for monthly stock returns materially reduces the magnitude of the headquarters‐city effect in stock returns. Additionally, we find that an implicit null hypothesis of zero local return comovement is inappropriate as there is positive comovement between a stock's return and returns on portfolios of stocks from nonheadquarters cities, on average. Nevertheless, results benchmarked against estimates based on resampling methods indicate a significant and robust headquarters‐city effect in stock returns.     

Hot money in disaggregated capital flows

We explore the possible existence and behavior of hot money in six categories of disaggregated bilateral capital flows (equity inflows, equity outflows, bond inflows, bond outflows, banking credit inflows, and banking credit outflows) for 12 emerging markets vis-à-vis the US from 1995 to 2012 and provides several new findings. First, we identify the existence of hot money in all six categories above and conclude that both gross inflows and gross outflows can be the sources of hot money. Second, hot money in equity inflows (outflows) engages in positive (negative) feedback trading regarding local stock market returns. Third, some categories of hot money have a temporary influence on local stock market returns while the others have a permanent influence, supporting the explanations of both price pressures and information advantage. Finally, local stock market returns in half of our sample countries, which have tightened capital controls during the late 2000s global financial crisis (GFC), are more affected by hot money than in the other half. Our findings confirm several popular conjectures of hot money, and endorse the use of capital controls to limit financial vulnerability in the run-up to and during the GFC.     

Does Corporate Headquarters Location Matter for Stock Returns?

We document strong comovement in the stock returns of firms headquartered in the same geographic area. Moreover, stocks of companies that change their headquarters location experience a decrease in their comovement with stocks from the old location and an increase in their comovement with stocks from the new location. The local comovement of stock returns is not explained by economic fundamentals and is stronger for smaller firms with more individual investors and in regions with less financially sophisticated residents. We argue that price formation in equity markets has a significant geographic component linked to the trading patterns of local residents.     

STOCK MARKET CONSEQUENCES OF POLITICAL VIBRANCY

We define areas with strong geographic ties to powerful politicians as politically vibrant and show that they are characterized by greater value-relevant information generation and symptomatic of equity market segmentation. Political vibrancy entails greater levels of local bias and local comovement and has two important return predictability implications. First, it enhances local institutions’ informational advantages; their trades’ ability to forecast local stock returns exceeds that of nonlocal institutions. Second, in support of the view that information diffuses slowly into prices, stock returns of firms from politically vibrant areas predict returns of similar firms in other areas.     

Climate reputation risk and abnormal returns in the stock markets: A focus on large emitters

Reputation risk is among the possible climate transition risks companies face, especially in emission-intensive industries. Failing to meet stakeholders' expectations about the contribution to climate goals might influence investors' strategies and produce financial damages. We look at the climate-related social media talk in a sample of highly polluting companies. For these companies, reputation risk materialises if their climate talk is perceived as not coherent with their action-taking. We then assess the impact of climate talk on short-term stock market performance, as measured by abnormal returns, and find a positive association between climate-related social media talks and abnormal returns. The strength of this association lowers during peak days of social media attention on climate-related topics.     

The valuation-relevance of the foreign translation adjustment: The effect of barriers to entry

We examine the economic effects of barriers to entry on the association between foreign currency translation adjustments and the stock returns of multinational firms operating in the manufacturing and service industries. Firms that are innovation leaders, that is, firms that are research and development (R&D) intensive and firms with high foreign asset intensity (i.e., asset-intensive firms), are our proxies for firms operating in environments with barriers to entry (i.e., environments in which competition is less intense). We hypothesize and find that foreign currency translation adjustments are positively associated with abnormal stock returns for firms operating in environments with barriers to entry in both manufacturing and service industries. This finding highlights the importance of assessing the valuation-relevance of foreign currency translation adjustments by considering the economic contexts of foreign currency movements. Overall, the evidence shows that the accounting rules governing foreign currency translations generally produce results consistent with the economic effects of foreign exchange rate changes.     

Monetary Policy and the Cross-Section of Expected Stock Returns

Ample evidence shows that size and book-to-market equity explain significant cross-sectional variation in stock returns, whereas beta explains little or none of the variation. Recent studies also demonstrate that proxies for monetary stringency increase the explained variation in stock returns. We reexamine a three-factor model that includes beta, size, and book-to-market equity, while allowing monetary conditions to influence the relations between these risk factors and average stock returns. We find that ex-ante proxies for monetary stringency significantly influence the relations between stock returns and all three risk factors. Additionally, all three variables are found to contribute significantly to explaining cross-sectional returns in a three-factor model that includes the monetary sector.     

Do social factors influence investment behavior and performance? Evidence from mutual fund holdings

We study the economic significance of social dimensions in investment decisions by analyzing the holdings of U.S. equity mutual funds over the period 2004–2012. Using these holdings, we measure funds’ exposures to socially sensitive stocks in order to answer two questions. What explains cross-sectional variation in mutual funds’ exposure to controversial companies? Does exposure to controversial stocks drive fund returns? We find that exposures to socially sensitive stocks are weaker for funds that aim to attract socially conscious and institutional investor clientele, and they relate to local political and religious factors. The financial payoff associated with greater “sin” stock exposure is positive and statistically significant, but becomes non-significant with broader definitions of socially sensitive investments. Despite the positive relation between mutual fund return and sin stock exposure, the annualized risk-adjusted return spread between a portfolio of funds with highest sin stock exposure and its lowest-ranked counterpart is statistically not significant. The results suggest that fund managers do not tilt heavily towards controversial stocks because of social considerations and practical constraints.     

PRESIDENTIAL ELECTION UNCERTAINTY AND COMMON STOCK RETURNS IN THE UNITED STATES

There is substantial evidence on the influence of political outcomes on the business cycle and stock market. We further hypothesize that uncertainty about the outcome of a U.S. presidential election should be reflected in pre‐election common stock returns. Prior research pools returns based on the party of the winning candidate, assuming that the outcome of the election is known a priori. We use candidate preference (i.e., polling) data to construct a measure of election uncertainty. We find that if the election does not have a candidate with a dominant lead, stock market volatility (risk) and average returns rise.