Information-driven stock return comovements across countries

This article analyses stock market comovements at a global level for 37 advanced and emerging countries in the last two decades. The article reports that international stock return comovements were greater in advanced countries than in emerging ones, but increased more rapidly in emerging countries than in advanced ones. The driving forces behind these comovements were country-specific fixed effects and time-varying factors over the period 2007–2015. These factors include not only the openness of international trade and finance but also institutional factors representing the development of information and communication technologies, the protection of property rights, and the transparency of information disclosure. These institutional factors worked in line with an information-driven comovement theory.     

Liquidity shocks,commodity financialization,and market comovements

We explore whether and how liquidity factors influence risk transfers between commodity and stock markets using a composite liquidity index and five different types of liquidity measures. We find that liquidity shocks, including both funding liquidity and market liquidity, are positively associated with comovements between commodity and stock markets after 2000, although the relationship is insignificant before 2000. The structural change indicates that financialization creates a role for adverse liquidity shocks to increase cross-market correlations. Further evidence shows that the effect of liquidity on cross-market correlations is state-dependent and intensifies when liquidity conditions deteriorate and asset returns sustain substantial declines. Our findings are not explained by business cycles.     

Durable goods, inter-sectoral linkages and monetary policy

Durable goods pose a challenge for standard sticky-price models because the near constancy of their shadow value and their apparent price flexibility lead to perverse and counterfactual economic implications, such as the tendency of the durables and nondurables sectors to move in opposite directions following a monetary policy shock. This paper introduces input-output interactions and limited input mobility into an otherwise standard sticky-price model with durable and nondurable goods. The extended model generates substantial aggregate effects and positive sectoral comovement following a monetary policy shock, even when durable goods have flexible prices. The latter result is consistent with empirical evidence on the sectoral effects of monetary policy.     

Government Intervention and Investment Comovement: Chinese Evidence

This study examines whether government intervention affects corporate investment comovement, and whether this impact varies across firms with different types of ownership. We use a large Chinese sample to investigate these questions, and perform a regional as well as firm‐level analysis. We show that government intervention is positively and significantly associated with investment comovement. We also find that the impact of government intervention on investment comovement is higher and more significant for state‐owned firms than for domestic private and foreign firms. Finally, we show that investment comovement hinders corporate performance for state‐owned and domestic private firms but not for foreign firms.     

Investor Attention and Time‐varying Comovements

This paper analyses the effect of an increase in market‐wide uncertainty on information flow and asset price comovements. We use the daily realised volatility of the 30‐year treasury bond futures to assess macroeconomic shocks that affect market‐wide uncertainty. We use the ratio of a stock's idiosyncratic realised volatility with respect to the S&P500 futures relative to its total realised volatility to capture the asset price comovement with the market. We find that market volatility and the comovement of individual stocks with the market increase contemporaneously with the arrival of market‐wide macroeconomic shocks, but decrease significantly in the following five trading days. This pattern supports the hypothesis that investors shift their (limited) attention to processing market‐level information following an increase in market‐wide uncertainty and then subsequently divert their attention back to asset‐specific information.     

Cyclicality and Sectoral Linkages: Aggregate Fluctuations from Independent Sectoral Shocks

The traditional argument against the relevance of sector-specific shocks for the aggregate phenomenon of business cycles invokes the law of large numbers: positive shocks in some sectors are offset by negative shocks in other sectors. This paper hypothesizes that cancellation of sector-specific shocks via the law of large numbers is affected by interactions among producing sectors. The analysis is performed within the context of a multisector model similar in spirit to that of Long and Plosser [J. Polit. Econ.91(1983), 39–69]. It is shown that the rate at which the law of large numbers applies is controlled by the rate of increase in the number offullrows in the input-use matrix rather than by the rate of increase in the total number of sectors. Investigations of actual input-use matrices from the U.S. economy reveal that the number of full rows increases much slower than the total number of rows upon disaggregation, and when these input-use matrices are used to parameterize the model, aggregate volatility from sectoral shocks declines at less than half the rate implied by the law of large numbers. This finding leaves open the possibility that a sizeable portion of aggregate volatility is caused by “smaller” shocks to individual sectors. Simple statistics calculated from the model indicate that as much as 80% the volatility in U.S. gross domestic product growth rates could be the result of independent shocks to two-digit Standard Industrial Code sectors.Journal of Economic LiteratureClassification Numbers: E1, E32, C67.     

Permanent and transitory components of recessions

We propose a generalization of existing empirical business cycle models that allows us to decompose recessions into permanent and transitory components. We find that the transitory component of recessions accounts for between 77% and 96% of the observed variance of monthly indicator series. Our results suggest the following three-phase characterization of the business cycle: recession, high-growth recovery during which output partially reverts to its previous peak, and normal growth following the recovery. In addition, we find significant timing differences between the permanent and transitory components of recessions; most notably the lack of the usual high-growth recovery phase following the 1990–91 recession. Final version April 5, 2001     

Comovement of dairy product futures and firm value: returns and volatility

This study investigates the exposure of dairy firm stock prices to the prices of dairy product futures, in terms of returns and volatility, from May 2013 to April 2018. Stock price returns are regressed against an index of the futures price returns to four dairy products – milk, cheese, butter and dry whey – to isolate the effects of the dairy futures price returns. Dairy product futures price returns are found to be significant in the regression in the first three years of the sample period, with a mean coefficient of ?0.024. Using the Diebold‐Yilmaz volatility spillover method of forecast error variance decomposition, we show that the volatility of the four dairy product futures accounted for an average of 5.49 per cent of the volatility of dairy stock prices. These results suggest that the prices of dairy firms have minimal exposure to dairy product futures prices. This has implications for dairy firms and investors, who seek to understand volatility and returns in the dairy products and the stocks they trade in, and for policymakers, who seek to control or mitigate undesirable dairy product price volatility.     

Has the correlation of inflation and stock prices changed in the United States over the last two centuries?

The relationship between stock prices and the inflation can be either negative or positive, depending on the strengths of various theoretical channels at work. In this study, we examine the dynamic conditional correlations of stock prices and inflation in the United States over the period of 1791–2015 under a time-varying framework. The results of our empirical analysis reveal that correlations between the inflation and stock prices in the United States evolve heterogeneously overtime. In particular, the correlations are significantly positive in the 1840s, 1860s, 1930s and 2011, and significantly negative otherwise. The policy implications of these findings are then discussed.     

Does program trading contribute to excess comovement of stock returns?

Daily returns of stocks with high program trading comove more with each other but less with others. This significant comovement is disconnected with market movements and news of fundamentals and becomes stronger when market uncertainty is higher. It can be explained by neither the hypotheses of gradual information diffusion and liquidity provision nor the effects of quantitative trading signals, earnings announcements and index fund trading. Its non-fundamental nature is further demonstrated by the observation of program trading stimulating return reversals. Underlying this comovement is the high persistence of program trading. Our findings support the theory of habitat investing and demonstrate program trading creates a distinct source of excess return comovement.