Turn‐of‐the‐month and intramonth effects: Explanation from the important macroeconomic news announcements

This study provides a new and economically plausible explanation for turn‐of‐the‐month and intramonth anomalies. It is suggested that these anomalies arise from clustered information, namely from important macroeconomic news announcements, which are released systematically at a certain point each month. It is verified that both anomalies exist in SP100 returns. However, once the effect of macroeconomic news announcements has been taken into account, these anomalies disappear. A measure is proposed which uses information from option‐implied volatilities to account for the changes in expected risk premium caused by news announcements. This measure is found to capture incompletely the effects of news announcements, which may due to the misreactions observed on the options market or alternative explanations, such as increased liquidity or investors' overreaction resulting in higher realized returns. Consequently, the underlying mechanism remains to some extent inconclusive although the empirical results provide strong support for the macroeconomic news announcement hypothesis. © 2007 Wiley Periodicals, Inc. Jrl Fut Mark 27:105–126, 2007     

What moves option‐implied bond market expectations?

This article examines the impact of macroeconomic news announcements on bond market expectations, as measured by option‐implied probability distributions of future bond returns. The results indicate that expected bond market volatilities increase in response to higher‐than‐expected inflation and unemployment announcements. Furthermore, the asymmetries in bond market expectations are found to be affected mostly by surprises in inflation and economic production figures. In particular, it is found that higher‐than‐expected inflation announcements cause optionimplied bond return distributions to become more negatively skewed or less positively skewed, implying a shift in market participants' perceptions toward future increases in interest rates. Finally, the results indicate that market expectations of future extreme movements in bond prices are virtually unaffected by macroeconomic news releases. Some evidence is found, however, that suggests that after extreme surprises in inflation announcements market participants attach higher probabilities for extreme movements in bond prices. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:817–843, 2005     

Timing the Market with a Combination of Moving Averages

A combination of simple moving average trading strategies with several window lengths delivers a greater average return and skewness as well as a lower variance and kurtosis compared with buying and holding the underlying asset using daily returns of value‐weighted US decile portfolios sorted by market size, book‐to‐market, momentum, and standard deviation as well as more than 1000 individual US stocks. The combination moving average (CMA) strategy generates risk‐adjusted returns of 2% to 16% per year before transaction costs. The performance of the CMA strategy is driven largely by the volatility of stock returns and resembles the payoffs of an at‐the‐money protective put on the underlying buy‐and‐hold return. Conditional factor models with macroeconomic variables, especially the market dividend yield, short‐term interest rates, and market conditions, can explain some of the abnormal returns. Standard market timing tests reveal ample evidence regarding the timing ability of the CMA strategy.     

Asymmetrical reaction to US stock-return news: evidence from major stock markets based on a double-threshold model

This paper examines the hypothesis that both stock returns and volatility are asymmetrical functions of past information from the US market. By employing a double-threshold GARCH model to investigate six major index-return series, we find strong evidence supporting the asymmetrical hypothesis of stock returns. Specifically, negative news from the US market will cause a larger decline in a national stock return than an equal magnitude of good news. This holds true for the volatility series. The variance appears to be more volatile when bad news impacts the market than when good news does.     

Market Timing With Moving Averages

I present evidence that a moving average (MA) trading strategy has a greater average return and skewness as well as a lower variance compared to buying and holding the underlying asset using monthly returns of value‐weighted US decile portfolios sorted by market size, book‐to‐market, and momentum, and seven international markets as well as 18,000 individual US stocks. The MA strategy generates risk‐adjusted returns of 3–7% per year after transaction costs. The performance of the MA strategy is driven largely by the volatility of stock returns and resembles the payoffs of an at‐the‐money protective put on the underlying buy‐and‐hold return. Conditional factor models with macroeconomic variables, especially the default premium, can explain some of the abnormal returns. Standard market timing tests reveal ample evidence regarding the timing ability of the MA strategy.     

The impact of stock split handling rules on returns: Evidence from Canada

Canadian and US stock split handling rules differ. In the US, buying shares is inconvenient before the ex‐date. In Canada, sellers face a miniscule probability of a big loss if the split is cancelled between the ex‐date and payable date. On the ex‐date, Canadian stock returns are positive and the proportion of seller‐initiated trading declines. After the payable date, returns are negative and the proportion of seller‐initiated trading increases. For cross‐listed shares, effects of US and Canadian rules are offsetting as returns are insignificant. We conclude that rules associated with a remote possibility of large losses affect investor behaviour. Copyright © 2010 ASAC. Published by John Wiley & Sons, Ltd.     

The Changing Role of Financial Stress,Oil Price,and Gold Price in Financial Contagion among US and BRIC Markets

The objective of this paper is to explore the determining factors behind financial contagion between US and BRIC (Brazil, Russia, India, and China) equity markets. To this end, we investigate the effects of global macroeconomic factors on the time‐varying correlations among these markets obtained by asymmetric dynamic conditional correlation method. Utilizing quantile regression analysis, we examine the determinants of financial contagion at different levels of time‐varying correlations. The results of quantile regression analyses reveal that global financial crisis (GFC) (2008) leads to changes in the dependence structure between dynamic conditional correlations among equity markets and global macroeconomic factors, such as global financial stress, oil prices, and gold prices. Following the GFC, monetary, and fiscal policy changes in the BRIC markets and hence changing macroeconomic risks of these markets are conducive to these changes. Our findings also demonstrate the importance of cross‐market rebalancing channel for information transmission across US and BRIC markets.     

The quantile dependence of commodity futures markets on news sentiment

Focusing on energy commodities, industrial metals, and gold, this paper examines the degree to which commodity futures returns depend on news sentiment under various market conditions, and the structure of that dependence. We observe an asymmetric market reaction to positive and negative news sentiment, which changes in periods of financial turmoil. The quantile regression analysis shows that news sentiment's influence on the futures returns follows an upward trend at higher percentiles. This structure flattens for positive news during the global financial crisis, while the slope for the negative component steepens in backwardation periods.     

The common sources of business cycles in Trans‐Pacific countries and the US? A comparison with NAFTA

This paper uses both a non‐structural and a structural approach to investigate the drivers of the business cycles in the US and 15 Trans‐Pacific (TP) countries. Our non‐structural analysis, based on a principal component methodology, reveals the shares of variation in macroeconomic variables that are due to factors common to both the US and the TP region, and factors that are region‐specific. We obtain similar measures by using a structural model (an estimated two‐country dynamic stochastic general equilibrium model) that allows for common and correlated shocks across the two regions. The clear and common finding from our analyses is that common shocks explain a substantial amount of macroeconomic variation. Comparison with the NAFTA region, along this dimension, reveals that the US economy is more similar to the TP region (a wider region that also includes Mexico and Canada) than its two neighbours.     

Good News and Bad News about Firm‐Level Stock Returns of Internationally Exposed Firms

We examine stock returns of firms with international exposure. Our empirical work relies on Campbell's variance decomposition framework. Not surprisingly, we find that the volatility of discount rate and cash flow news increase with the degree of international exposure. As firms globalize, the cash flow effect is good news, while the discount rate effect amounts to bad news. The surprising result is that the covariance between the news terms increases with international exposure. This finding provides indirect evidence for the proposition that foreign exchange (FX) risk is a priced factor in the cross‐section of risk‐adjusted expected returns. JEL Classifications: G12, G15; EFM Classification Code: 330     

Did Investors Herd during the Financial Crisis? Evidence from the US Financial Industry

We examine the herding behavior of investors in the US financial industry, especially commercial banks, S&Ls, investment and insurance firms during global financial crisis of 2008 towards own sub‐sector and market consensus using augmented cross sectional absolute deviation of returns (CSAD) model. After distinguishing between fundamental and non‐fundamental information, we find a greater influence of global financial crisis on spurious herding for commercial and investment banks, and such herding increases in the down market and with conditional volatility of returns, but adverse herding is prevalent among investors during normal period in response to fundamental information. We also find that herding intensity on fundamental information is relatively high with market consensus for all financial institutions except insurance firms in high volatility regime, and intentional herding is only significant and limited to S&Ls and investment banks in high volatility regime. Our findings suggest limited spillover effects of herding when investors face non‐fundamental information.     

Time‐varying jump risk premia in stock index futures returns

This study tests the presence of time‐varying risk premia associated with extreme news events or jumps in stock index futures return. The model allows for a dynamic jump component with autoregressive jump intensity, long‐range dependence in volatility dynamics, and a volatility in mean structure separately for the normal and extreme news events. The results show significant jump risk premia in four stock market index futures returns including the DAX, FTSE, Nikkei, and S&P500 indices. Our results are robust to various specifications of conditional variance including the plain GARCH, component GARCH, and Fractionally Integrated GARCH models. We also find the time‐varying risk premium associated with normal news events is not significant across all indices. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark 32:639–659, 2012     

Testing for stock return predictability in a large Chinese panel

This paper proposes a simple panel data test for stock return predictability that is flexible enough to accommodate three key salient features of the data, namely, predictor persistency and endogeneity, and cross-sectional dependence. Using a large panel of Chinese stock market data comprising more than one million observations, we show that most financial and macroeconomic predictors are in fact able to predict returns. We also show how the extent of the predictability varies across industries and firm sizes.     

The Macroeconomic Effects of the Canada–US Free Trade Agreement on Canada: A Counterfactual Analysis

We evaluate the macroeconomic effects of the Canada–US Free Trade Agreement (FTA) on Canada's economy using a counterfactual analysis. We exploit the dependence of GDP growth (labour productivity and unemployment, respectively) among different economic entities and construct the counterfactuals using data from countries other than Canada. We find that in the adjustment period from 1989:Q1 to 1992:Q1, Canada's economy bore the short‐run adjustment costs of the FTA with a decline of the annual real GDP by 2.56 per cent and a decline of the labour productivity by 0.62 per cent. After the adjustment period, the FTA had a positive and permanent effect of 1.86 per cent on Canada's annual real GDP growth and raised the labour productivity from 1992 to 1994 by 2.39 per cent on average. Moreover, the FTA increased Canada's annual unemployment rate by 1.81 per cent in the period 1989–94.     

Real-time price discovery in global stock, bond and foreign exchange markets

Using a unique high-frequency futures dataset, we characterize the response of U.S., German and British stock, bond and foreign exchange markets to real-time U.S. macroeconomic news. We find that news produces conditional mean jumps; hence high-frequency stock, bond and exchange rate dynamics are linked to fundamentals. Equity markets, moreover, react differently to news depending on the stage of the business cycle, which explains the low correlation between stock and bond returns when averaged over the cycle. Hence our results qualify earlier work suggesting that bond markets react most strongly to macroeconomic news; in particular, when conditioning on the state of the economy, the equity and foreign exchange markets appear equally responsive. Finally, we also document important contemporaneous links across all markets and countries, even after controlling for the effects of macroeconomic news.     

Real-time price discovery in global stock,bond and foreign exchange markets

Using a unique high-frequency futures dataset, we characterize the response of U.S., German and British stock, bond and foreign exchange markets to real-time U.S. macroeconomic news. We find that news produces conditional mean jumps; hence high-frequency stock, bond and exchange rate dynamics are linked to fundamentals. Equity markets, moreover, react differently to news depending on the stage of the business cycle, which explains the low correlation between stock and bond returns when averaged over the cycle. Hence our results qualify earlier work suggesting that bond markets react most strongly to macroeconomic news; in particular, when conditioning on the state of the economy, the equity and foreign exchange markets appear equally responsive. Finally, we also document important contemporaneous links across all markets and countries, even after controlling for the effects of macroeconomic news.     

Asymmetric pricing of implied systematic volatility in the cross‐section of expected returns

Assuming a symmetric relation between returns and innovations in implied market volatility, Ang, A., Hodrick, R., Xing, Y., and Zhang, X. (2006) find that sensitivities to changes in implied market volatility have a cross‐sectional effect on firm returns. Dennis, P., Mayhew, S., and Stivers, C. (2006), however, find an asymmetric relation between firm‐level returns and implied market volatility innovations. We incorporate this asymmetry into the cross‐sectional relation between sensitivity to volatility innovations and returns. Using both portfolio sorting and firm‐level regressions, we find that sensitivity to VIX innovations is negatively related to returns when volatility is rising, but is unrelated when it is falling. The negative relation is robust to controls for other variables, suggesting only the increase in implied market volatility is a priced risk factor. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 31:34–54, 2011     

Institutional determinants of emerging market returns and flows

Investors commonly rely on macroeconomic variables to drive capital allocation decisions. But other institutional factors may alter investor returns as well, particularly in emerging market countries. Given these concerns, this paper examines the effects of institutional factors—specifically democracy, transparency and corruption—on emerging market equity returns and flows. We find that institutional quality impacts stock market returns and flows in emerging markets where corruption, transparency, and democracy levels are below average. We also find that government-owned or controlled industries are positively impacted by a deterioration in the corruption and democracy indexes, while highly concentrated sectors, like the financial industry, are negatively impacted by improving transparency.     

Forecasting equity returns: The role of commodity futures along the supply chain

This paper examines equity return predictability using the returns of commodity futures along the supply chain in China's financial market. We find that a considerable number of commodities exhibit significant in‐sample forecasting ability at the daily horizon, especially for supplier‐side equity returns. The macroeconomic risk premium effect, captured by the aggregate commodity prices, is an important source for this predictability. The out‐of‐sample results show that for most commodities, the predictability remains both statistically and economically significant, and the forecasting performance improves substantially during recessions or with economic constraints.     

Liquidity and macroeconomic management in emerging markets

Emerging markets have received considerable attention for foreign investment and international diversification due to the possibility of higher earnings and a low level of integration with global equity markets. These high returns often need to be balanced by the high liquidity costs of trading in illiquid emerging markets. Several studies have shown that central bank and government policies are significant determinants of market liquidity. We investigate the influence of monetary and fiscal policy variables on the market and firm level liquidity of eight emerging stock markets of Asia. Using four different (il)liquidity measures and nine macroeconomic variables, we find that changes in the money supply, government expenditure and private borrowing significantly affect stock market liquidity. Illiquidity is also strongly affected by the bank rate, short-term interest rate and government borrowing. We demonstrate that ‘crowding out’ and ‘cost of funds’ effects exist in these markets. Other major findings are that some markets are more sensitive to local macroeconomic news than world factors, the impact on size based portfolios largely depends on the instruments used by the central banks and government, the liquidity of the manufacturing sector is affected by changes in any policy variables, financial institutions are only influenced by monetary policy variables, and the service sector is least affected.