The stock–bond correlation and macroeconomic conditions: One and a half centuries of evidence

Using monthly stock and bond return data in the past 150 years (1855–2001) for both the US and the UK, this study documents time-varying stock–bond correlation over macroeconomic conditions (the business cycle, the inflation environment and monetary policy stance). There are different patterns of time variation in stock–bond correlations over the business cycle between US and UK, which implies that bonds may be a better hedge against stock market risk and offer more diversification benefits to stock investors in the US than in the UK. Further, there is a general pattern across both the US and the UK during the post-1923 subperiod and during the whole sample period: higher stock–bond correlations tend to follow higher short rates and (to a lesser extent) higher inflation rates.     

Impact of the 2008–2009 financial crisis on the external and internal linkages of European frontier stock markets

This study investigates the impact of the 2008–2009 financial crisis on (i) external linkages of European frontier stock markets (Croatia, Estonia, Romania, Slovakia and Slovenia) with the developed equity markets (the US, the UK, and Germany) and (ii) internal linkages within the frontier markets. The results demonstrate that both long- and short-run external linkages were strengthened during the crisis. The analysis of internal linkages reveals strong relationship only between the Croatian and Slovenian markets. However, the other frontier markets in the group were weakly linked, implying that European frontier stock markets may constitute a good alternative source of diversification benefits during crises periods.     

Baltic stock markets and the financial crisis of 2008–2009

This study presents new evidence on stock market integration by investigating the linkages between developed European stock markets and emerging stock markets. We focus on three countries in the Baltic region, namely Estonia, Latvia and Lithuania with particular attention to the recent financial crisis of 2008–2009. The study is motivated by traditional stock market studies of integration, which show that developed stock markets are highly integrated, while emerging markets may be segmented. How integrated these emerging stock markets are in a crisis period with respect to the EUROSTOXX50 stock index is an empirical question investigated in this study. While the results of this study demonstrate that the Baltic stock markets were apparently segmented before the crisis, they were highly integrated during the crisis. The results of the variance decomposition analysis show that a large proportion of the forecast variance of the Baltic stock markets can be explained by the EUROSTOXX50 during the crisis. The results from the quantile regressions demonstrate that during the crisis the returns of the lowest quantile were most sensitive to the EUROSTOXX50 stock index. All these results imply less diversification benefits during crises when investors would need them the most.     

Baltic stock markets and the financial crisis of 2008–2009

This study presents new evidence on stock market integration by investigating the linkages between developed European stock markets and emerging stock markets. We focus on three countries in the Baltic region, namely Estonia, Latvia and Lithuania with particular attention to the recent financial crisis of 2008–2009. The study is motivated by traditional stock market studies of integration, which show that developed stock markets are highly integrated, while emerging markets may be segmented. How integrated these emerging stock markets are in a crisis period with respect to the EUROSTOXX50 stock index is an empirical question investigated in this study. While the results of this study demonstrate that the Baltic stock markets were apparently segmented before the crisis, they were highly integrated during the crisis. The results of the variance decomposition analysis show that a large proportion of the forecast variance of the Baltic stock markets can be explained by the EUROSTOXX50 during the crisis. The results from the quantile regressions demonstrate that during the crisis the returns of the lowest quantile were most sensitive to the EUROSTOXX50 stock index. All these results imply less diversification benefits during crises when investors would need them the most.     

Global financial crisis and emerging stock market contagion: A multivariate FIAPARCH–DCC approach

This paper empirically investigates the contagion effects of the global financial crisis in a multivariate Fractionally Integrated Asymmetric Power ARCH (FIAPARCH) dynamic conditional correlation (DCC) framework during the period 1997–2012. We focus on five most important emerging equity markets, namely Brazil, Russia, India, China and South Africa (BRICS), as well as USA during different phases of the crisis. The length and the phases of the crisis are identified based on both an economic and a statistical approach. The empirical evidence does not confirm a contagion effect for most BRICS during the early stages of the crisis, indicating signs of isolation or decoupling. However, linkages reemerged (recoupled) after the Lehman Brothers collapse, suggesting a shift on investors' risk appetite. Moreover, correlations among all BRICS and USA are increased from early 2009 onwards, implying that their dependence is larger in bullish than in bearish markets. These findings do not show a pattern of contagion for all BRICSs' markets that could be attributed to their common trade and financial characteristics and provide important implications for international investors and policymakers.     

HARA utility maximization in a Markov-switching bond–stock market

We present a flexible multidimensional bond–stock model incorporating regime switching, a stochastic short rate and further stochastic factors, such as stochastic asset covariance. In this framework we consider an investor whose risk preferences are characterized by the hyperbolic absolute risk-aversion utility function and solve the problem of optimizing the expected utility from her terminal wealth. For the optimal portfolio we obtain a constant-proportion portfolio insurance-type strategy with a Markov-switching stochastic multiplier and prove that it assures a lower bound on the terminal wealth. Explicit and easy-to-use verification theorems are proven. Furthermore, we apply the results to a specific model. We estimate the model parameters and test the performance of the derived optimal strategy using real data. The influence of the investor’s risk preferences and the model parameters on the portfolio is studied in detail. A comparison to the results with the power utility function is also provided.     

Smooth transition patterns in the realized stock–bond correlation

This paper explores the time variation in the stock–bond correlation using high-frequency data. Gradual transitions between regimes of negative and positive stock–bond correlation are well accommodated by the smooth transition regression (STR) model. We find that the regimes are systematically related to movements in financial and to a minor extent macroeconomic transition variables. In particular, the most informative transition variables are the short rate, the yield spread, and the VIX volatility index. Importantly, both in-sample and out-of-sample evaluation criteria show that multiple transition variable STR specifications considerably outperform single transition variable STR models. Our results are robust to different forecast horizons.     

Quantiles of the realized stock–bond correlation and links to the macroeconomy

This paper adopts quantile regressions to scrutinize the realized stock–bond correlation based upon high frequency returns. The paper provides in-sample and out-of-sample analysis and considers factors constructed from a large number of macro-finance predictors well-known from the return predictability literature. Strong in-sample predictability is obtained from the factor quantile model. Out-of-sample the quantile factor model outperforms benchmark models.     

Financial crises and emerging stock markets volatility: do internal factors matter?

This paper has two central aims. The first one is to deal empirically with the effects of financial crises on emerging stock markets volatility. The second objective consists in testing if the level of stock market development affects this relationship. For this purpose, we estimate a static panel data model for a sample of nine emerging economies from January 1990 to December 2006. We consider three types of financial crises, i.e. banking, currency and twin crises. Our empirical results suggest that the onset of financial crises strongly increased stock market volatility. In addition, we find that the biggest impact is exerted by twin crises. When dealing with the second objective, our results show that the market size and the liquidity level can attenuate the effects of banking and currency crises, but not the one associated to twin crises. Nevertheless, the degree of stock market integration seems to reduce the effects of banking, currency and twin crises on stock market volatility.     

Do the size,value, and momentum factors drive stock returns in emerging markets?

This paper investigates the size, value, and momentum effects in 18 emerging stock markets during the period 1990–2013. We find that size and momentum strategies generally fail to generate superior returns in emerging markets. The value effect exists in all markets except Brazil, and it is robust to different periods and market conditions. Value premiums tend to move positively together across different markets, and such inter-market comovements increase overtime and during the global financial crisis.     

What moves international stock and bond markets?

We study the relation between international mutual fund flows and the different return components of aggregate equity and bond markets. First, we decompose international equity and bond market returns into changes in expectations of future real cash payments, interest rates, exchange rates, and discount rates. News about future cash flows, rather than discount rates, is the main driver of international stock returns. This evidence is in contrast with the typical results reported only for the US. Inflation news instead is the main driver of international bond returns. Next, we turn to the interaction between these return components and international portfolio flows. We find evidence consistent with price pressure, short-term trend chasing, and short-run overreaction in the equity market. We also find that international bond flows to emerging markets are more sensitive to interest rate shocks than equity flows.     

Do extreme returns matter in emerging markets? Evidence from the Chinese stock market

Recent evidence in the U.S. and Europe indicates that stocks with high maximum daily returns in the previous month, perform poorly in the current month. We investigate the presence of a similar effect in the emerging Chinese stock markets with portfolio-level analysis and firm-level Fama–MacBeth cross-sectional regressions. We find evidence of a MAX effect similar to the U.S. and European markets. However, contrary to U.S. and European evidence, the MAX effect in China does not weaken much less reverse the anomalous idiosyncratic volatility (IV) effect. Both the MAX and IV effects appear to independently coexist in the Chinese stock markets. Interpreted together with the strong evidence of risk-seeking behaviour among Chinese investors, our results partially support the suggestion that the negative MAX effect is driven by investor preference for stocks with lottery-like features.     

Are emerging market indicators of vulnerability to financial crises decoupling from global factors?

This paper assesses the extent to which common factors underlie indicators of vulnerability to financial crises in emerging market economies (EMEs) and whether this link is changing over time. We use a Bayesian dynamic common factor model to estimate their common component in a sample of up to 41 countries including both developed as well as emerging economies. This permits us to interpret the component in common to both of them as a global factor. We introduce time variation into the model to investigate whether indicators are decoupling from global factors over time. While decoupling can be observed in a few cases, the exposure to global factors in most countries tends to fluctuate around the mean. Broadly speaking then, the answer is no.     

Assessing financial market integration in Asia – Equity markets

Financial integration has strong implications for financial stability. On the one hand, financial integration among economies helps to improve their capacity to absorb shocks and foster development. On the other hand, intensified financial linkages in a world of increasing capital mobility may also harbour the risk of cross-border financial contagion. This paper provides a survey of high-frequency indicators to monitor the development of equity market integration in Asia. The results show that after slowing down between 2002 and 2006, the equity market integration process picked up again in 2007–08. Nevertheless, the process is not complete and the degrees of integration between mature and emerging equity markets are different. The divergence may be attributed to the difference in the political, economic and institutional aspects across jurisdictions in Asia.     

The influence of cultural factors on price clustering: Evidence from Asia–Pacific stock markets

Price clustering is the tendency of prices to be observed more frequently at some numbers than others. It increases with haziness, or imprecision, about underlying value. Most research on price clustering has been conducted in Western financial markets, where there is manifest preference for trading at round numbers.We focus on number preferences under Chinese culture. Many Chinese believe some numbers are “unlucky” and to be avoided. For instance, the number 4 is inauspicious because the Cantonese pronunciation of 4 is similar to the phrase “to die”. We first document clustering of daily closing prices on six Asia–Pacific stock markets, three with predominantly Chinese populations. Next, we fit binomial logit models within these markets to estimate the association between structural and economic factors, and culture, on price clustering. We find some support for the influence of Chinese culture and superstition on year-round number preferences of traders, but it is located solely in the Hong Kong market. Furthermore, in the Hong Kong market Chinese culture and superstition help explain the increased avoidance of the number 4 during the auspicious Chinese New Year, Dragon Boat and Mid-Autumn festivals.     

State uncertainty in stock markets: How big is the impact on the cost of equity?

We propose a novel Bayesian framework to incorporate uncertainty about the state of the market. Among others, one advantage of the framework is the ability to model a large collection of time-varying parameters simultaneously. When we apply the framework to estimate the cost of equity we find economically significant effects of state uncertainty. A state-independent pricing model overestimates the cost of equity by about 4% per annum for a utility firm and by as much as 3% for industries. We also observe that the expected return, volatility, risk loading, and pricing error all display state-dependent dynamics that coincide with the business cycle. More interestingly, the forecasted market and Fama–French factor risk premiums can predict the future real GDP growth rate even though the model does not use any macroeconomic variables, which suggests that the proposed Bayesian framework captures the state-dependent dynamics well.     

A comparison of the stock market reactions of convertible bond offerings between financial and non-financial institutions: Do they differ?

We focus on the stock price reaction to convertible bond offering made by financial institutions and find that the cumulative abnormal return over the three day interval around convertible bond issuance is 1.41 percentage higher than that for non-financial institutions. This result supports our hypothesis that since financials are heavily regulated, the market is less likely to assume that the issuance of convertible bond by financials signals information that are overvalued. Our results remain robust after controlling for a number of firm-, issue-, and market-specific characteristics as well as the level of short selling pressure induced by convertible bond arbitrageurs.     

Empirical investigation of changes in policy uncertainty on stock returns—Evidence from China’s market

This study finds evidence that a rise in economic policy uncertainty (EPU) leads to a decline in stock returns in Chinese market; however, a positive coefficient was observed in the lagged EPU as stock prices rebound. This phenomenon also holds true for a rise in uncertainty innovations in fiscal policy, monetary policy, trade policy and global policy. The evidence leads to conclude that policy uncertainty premiums should be priced into China’s stock prices. An escalation of U.S. policy uncertainty has a significantly harmful effect on Chinese stocks regardless of whether firms are stated own or listed on U.S. market.     

On the prediction of financial distress in developed and emerging markets: Does the choice of accounting and market information matter? A comparison of UK and Indian Firms

We examine differences in price delay for a sample of real estate investment trust (REIT) and non-REIT matched pairs. Results suggest an economically and statistically higher level of price delay for REIT securities, which implies heightened frictions that increase the time needed for new information to be impounded into the prices of REIT shares. The primary drivers for the observed delay differential include differences in idiosyncratic volatility, market risk, and the number of days traded. Within-REIT determinants of delay confirm findings for the pooled sample of matched pairs. Importantly, we infer find that REIT investors are not compensated for restricted information flow, as excess returns are unrelated to the price delay.     

Does innovation and financial constraints affect the propensity to save in emerging markets?

Despite the surge in corporate savings and heightened interest in understanding the reasons for this behaviour, little is known about the forces behind this stylised phenomenon in emerging markets (EMs). Using a large sample of firms from nine African countries over the period 2001–2015, we posit and find that the propensity to save is higher in this context due to limited access to external finance. However, when we examine the effects of innovation on corporate savings, we find that the results are reversed as, relative to Non-R&D firms, R&D firms save less of their operating cash flow. This is in stark contrast to the extant literature in advanced economies, which shows that savings are essential to smoothen lumpy, irreversible and risky investments in innovation. We find this is due to the reversal in firm-specific factors, with R&D firms in this context being larger and more mature; hence, relying less on internal financing sources compared to young and less-mature R&D firms in advanced economies. We interpret our results as suggestive of the overarching influence of access to external finance as a major determinant of the propensity to save and deterrent to investing in innovation. Our finding helps explain the glut in innovation amongst small and young firms in emerging markets and calls for policies that promote innovation.