Structural breaks in volatility spillovers between international financial markets: Contagion or mere interdependence?

This paper conducts an investigation of volatility transmission between stock markets in Hong Kong, Europe and the United States covering the time period from 2000 up to 2011. Using intra-daily data we compute realized volatility time series for the three markets and employ a Heterogeneous Autoregressive Distributed Lag Model as our baseline econometric specification. Motivated by the presence of various crisis events contained in our sample, we detect time-variation and structural breaks in volatility spillovers. Particularly during the financial crisis of 2007, we find effects consistent with the notion of contagion, suggesting strong and sudden increases in the cross-market synchronization of chronologically succeeding volatilities. Investigating the role of mean breaks and conditional heteroskedasticity in the realized volatilities, however, we find the latter to be the main driver of breaks in volatility spillovers. Taking the volatility of realized volatilities into account, we find no evidence of contagion anymore.     

Working online or offline: Which is more effective?

Teleworking is becoming increasingly prevalent due to the rapid technological development and the spread of COVID-19. Despite the great convenience, questions about its productivity arise. Using regression analysis and difference-in-differences analysis, this study examines the effectiveness of teleworking by comparing the informativeness of analysts’ online and offline corporate visits. An empirical analysis shows that analysts’ forecasts are accurate after offline visits. This finding suggests that teleworking is less productive than on-site work. We further exclude explanations on fatigue and affiliation and confirm this finding’s robustness with alternative forecast performance measures. Additionally, teleworking impacts forecast accuracy based on analyst experience, resources, firm visibility, and transparency. Our results reveal a potential channel through which the COVID-19 crisis influences capital market transparency and overall economic output.     

Which sentiment index is more informative to forecast stock market volatility? Evidence from China

In this paper, we investigate the predictive ability of three sentiment indices constructed by social media, newspaper, and Internet media news to forecast the realized volatility (RV) of SSEC from in- and out-of-sample perspectives. Our research is based on the heterogeneous autoregressive (HAR) framework. There are several notable findings. First, the in-sample estimation results suggest that the daily social media and Internet media news sentiment indices have significant impact for stock market volatility, while the sentiment index built by traditional newspaper have no impact. Second, the one-day-ahead out-of-sample forecasting results indicate that the two sentiment indices constructed by social media and Internet media news can considerably improve forecast accuracy. In addition, the model incorporating the positive and negative social media sentiment indices exhibits more superior forecasting performance. Third, we find only the sentiment index built by Internet media news can improve the mid- and long-run volatility predictive accuracy. Fourth, the empirical results based on alternative prediction periods and alternative volatility estimator confirm our conclusions are robust. Finally, we examine the predictability of the monthly sentiment indices and find that the two sentiment indices of social media and Internet media news contain more informative to forecast the monthly RV of SSEC, CSI800, and SZCI, however invalid for CSI300.     

Corporate financial policy: What really matters?

Reliable access to funding, as in Myers and Majluf (1984), is what really matters, but there are nontrivial indeterminacies in how such access is arranged and in the debt, cash-balance, and payout components of financial policy. These inferences are from a corporate “twins” comparison study of the financial policies of Henry Ford at Ford Motor Co. and Alfred P. Sloan, Jr. at General Motors Corp. The documented testimony of Ford and Sloan indicates that both focused on funding their business, with debt as a funding tool, not an element of an optimized leverage ratio. Their financial policies differ in five important respects, including (i) the use of debt versus large cash balances to meet funding needs and (ii) a commitment to paying large dividends versus a strong aversion to payouts. The data also point to the importance of the inability of managers to identify optimal policies with reliable precision.     

Which form of hedging matters — Operational or financial? Evidence from the US oil and gas sector

We examine the extent and impact of operational and financial hedging on commodity price risk in US oil and gas companies. We find significant exposure to underlying commodity movements. Using a combination of hand collected and publicly available data we examine the impact of hedging strategies. We find no evidence that operational hedging, defined here as multinationality, is effective. In contrast, we find that financial hedging is significant and impactful. Sub-period analysis shows that the effectiveness of financial hedging diminishes when commodity price volatility is high.     

Does more information in stock price lead to greater or smaller idiosyncratic return volatility?

We investigate the relation between price informativeness and idiosyncratic return volatility in a multi-asset, multi-period noisy rational expectations equilibrium. We show that the relation between price informativeness and idiosyncratic return volatility is either U-shaped or negative. Using several price informativeness measures, we empirically document a U-shaped relation between price informativeness and idiosyncratic return volatility. Our study therefore reconciles the opposing views in the following two strands of literature: (1) the growing body of research showing that firms with more informative stock prices have greater idiosyncratic return volatility, and (2) the studies arguing that more information in price reduces idiosyncratic return volatility.     

Asian financial integration: Global or regional? Evidence from money and bond markets

This paper investigates the degree of global versus regional financial integration in Southeast Asia during the period 2004–2012. We examine integration in the money and bond markets in Asia by employing a covered-interest-parity-based measure of financial integration. The impact of the 2008 financial crisis as well as the recent regional bond initiatives on the integration process of Asian money and bond markets respectively are specifically investigated. Empirically, we adopt the Phillips and Sul (2007) convergence methodology that has not been previously employed to examine the integration process in Asian money and bond markets. We find evidence of both global and regional integration in the money market pre 2008 but once the crisis hit, the process of global integration comes to an abrupt halt. However, regional integration, albeit at a slower pace, is still clearly evident in the post-crisis period. As for the Asian bond market, evidence of both global and regional integration is found but, in comparison, the latter is more convergent post 2008. Regional integration is stronger when interest rates with longer maturity are considered. In addition, we identify some convergent subgroups of countries and this suggests that a multi-tiered style of convergence is present.     

Lessons from the financial crisis: failure of markets or failure of regulation?

The popular, demagogic narrative after the global financial system's collapse in 2008 has held that the financial crisis signalled the failure of capitalism. However, regulators across the world must realize that the financial crisis was not brought about by the failure of markets but by the failure of governments to appropriately regulate markets. Beginning in the 1980s, and continuing over the quarter-century that followed, regulators afforded the world of big finance an unaffordable luxury: insurance against possible failure. As a result, banks and financial institutions became adept at turning their insulation from disorderly failure, as enforced by free markets, into insulation from market discipline, as inflicted by myopic regulators. This ‘too big to fail’ syndrome combined with the incorrect belief perpetrated by the Federal Reserve Chairman Alan Greenspan that financial companies, powered by a rational motive not to lose money, could police themselves and one another. In turn, such sanguine beliefs led to considerable over-supply of financial innovation. The supply created its own demand as the financial world operated under the implicit guarantee (and market distortion) created by the ‘too big to fail’ syndrome.

The errors laid bare by the financial crisis clearly call for regulatory reform. But in designing that reform, regulators across the world should avoid the temptation to seek heavy-handed new approaches. Instead, policymakers should look to the long-term success of the system of rules whose decay brought about the crisis. Prudent regulations must seek to reinforce the fundamental principle that no one, however big or small, can be made immune to failure. Such pro-market regulation of finance is essential to preserving and fostering countries’ economic futures.     

Efficiency in housing markets: Which home buyers know how to discount?

We test for efficiency in the Swedish co-op market by examining the negative relationship between the sales price and the present value of future monthly payments or ‘rents’. If the co-op housing market is efficient, the present value of co-op rental payments due to underlying debt obligations of the cooperative should be fully reflected in the sales price. However, a one hundred kronor increase in the present value of future rents only leads to an approximately 75 kronor reduction in the sales price. These inefficiencies are larger at the lower end of the housing market and in poorer, less educated regions and appear to reflect both liquidity constraints and the existence of more ‘sophisticated’ buyers in higher educated areas. Overall, our findings suggest that there is some systematic failure to properly discount the future stream of rent payments relative to the up front sales price.     

Which popular predictor is more useful to forecast international stock markets during the coronavirus pandemic: VIX vs EPU?

This study mainly investigates which predictors (VIX or EPU index) are useful to forecast future volatility for 19 equity indices based on HAR framework during coronavirus pandemic. Out-of-sample analysis shows that the HAR-RV-VIX model exhibits superior forecasting performance for 12 stock markets, while EPU index just can improve forecast accuracy for 5 equity indices, implying that VIX index is more useful for most stock markets' future volatility during coronavirus crisis. The results are robust in recursive window method, alternative realized measures and sub-sample analysis; moreover, VIX index still contains the strongest predictive ability by considering kitchen sink model and mean combination forecast. Furthermore, we further discuss the predictive effect of VIX and EPU index before the coronavirus crisis. Our article provides policy makers, researchers and investors with new insights into exploiting the predictive ability of VIX and EPU index for international stock markets during coronavirus pandemic.     

Stock market volatility: friend or foe?

Although a good deal of research effort has been allocated to understanding the time-series volatility of stock returns – as both market (or systematic) volatility and idiosyncratic (or non-systematic) volatility – the relationship of such volatility with cross-sectional volatility or dispersion of outcomes is sparse. Nevertheless, the quest to understand one must involve the quest to understand the other. In this paper, we investigate the dispersion of returns in relation to inter-temporal volatility, as well as the dynamic of dispersion of returns in generating a portfolio’s return outcome. We find that the level of such dispersion is highly significant for portfolio performance and the notion of risk.     

Returns and volatility spillover in the European banking industry during global financial crisis: Flight to perceived quality or contagion?

This paper empirically investigates return, volatility and leverage spillover effects between banking industrial stock markets of the major economies (ME) (Germany, UK and US) and the smaller stressed European Union countries (SE), (Italy, Ireland, Greece, Spain and Portugal) from 2002 to 2014 which includes the global financial crisis period (2007–2014). Thus the paper investigates the influence of the global crisis on the spillover between the banking industrial stock markets of Europe and the US. We apply a multivariate GARCH–GJR framework to investigate the effects of the financial crisis with respect to spillover. Our results indicate an increase in both means and volatility spillover between the major economies and the stressed EU economies from the pre-crisis to the crisis period. During the pre-crisis period there is ample evidence of spillover from Germany, UK and the US to the smaller EU economies. Little evidence of a significant spillover from the smaller economies to the major economies is found during this period. We find that return and volatility transmission mechanisms between the major economies and the smaller EU countries are asymmetric during the crisis period. During the crisis, the level and amount of spillover from the major economies increase. But now there is also clear evidence of spillover from smaller EU economies to the major economies, this is especially true for Germany and the UK. Evidence of spillover effects suggests the existence of exploitable trading strategies and has important implications to investors in the areas of option pricing, portfolio optimization and risk management.     

Latin American stock markets’ volatility spillovers during the financial crises: a multivariate FIAPARCH-DCC framework

The main purpose of this paper is to analyse the volatility spillovers in Latin American emerging stock markets. A multivariate Fractionally Integrated Asymmetric Power ARCH model with dynamic conditional correlations of Engle (1982 Engle, R. F. 1982. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50: 987–1007. [Crossref], [Web of Science ®] , [Google Scholar]) with a Student-t distribution is employed. We examine whether considering for long memory and asymmetry in emerging stock markets behaviour may provide more insights into the volatility spillovers phenomenon. In this paper we select daily frequency stock indexes covering four emerging countries in Latin America for the period (January 1995–September 2009). Our results point out the importance of volatility spillovers in these countries. Moreover, long memory and asymmetry in emerging stock market dynamics seem to provide more insights into the transmission of volatility shocks. More interestingly, the analysis of the DCCEs behaviour over time via multivariate cointegration, vector error correction model and the Cholesky variance decomposition shows shifts behaviour around major Latin American financial crisis and recent subprime crisis. On the practical side, these results may be useful for international portfolio managers and Latin American stock market authorities.     

Stock markets’ reaction to COVID-19: Cases or fatalities?

In this paper, we examine the stock markets’ response to the COVID-19 pandemic. Using daily COVID-19 confirmed cases and deaths and stock market returns data from 64 countries over the period January 22, 2020 to April 17, 2020, we find that stock markets responded negatively to the growth in COVID-19 confirmed cases. That is, stock market returns declined as the number of confirmed cases increased. We further find that stock markets reacted more proactively to the growth in number of confirmed cases as compared to the growth in number of deaths. Our analysis also suggests negative market reaction was strong during early days of confirmed cases and then between 40 and 60 days after the initial confirmed cases. Overall, our results suggest that stock markets quickly respond to COVID-19 pandemic and this response varies over time depending on the stage of outbreak.     

Consumer confidence or the business cycle: What matters more for European expected returns?

Answer: The business cycle.We show that consumer confidence and the output gap both affect excess returns on stocks in many European countries: When the output gap is positive (the economy is doing well), expected returns are low, and when consumer confidence is high, expected returns are also low. Consumer confidence and the output gap are also highly positively correlated. In fact, we find that consumer confidence does not contain independent information (i.e. information over and above that contained by the output gap) about expected returns. Our use of European data allows us to examine both aggregate European and local-country data on consumer confidence and output gaps. We find that even local-country consumer confidence does not contain independent information about expected returns. Our findings have asset pricing implications: We show that the cross-country distribution of expected returns is better captured when using the European output gap as a risk factor.     

What matters more in board independence? Form or substance: Evidence from influential CEO-directors

We exploit heterogeneities among CEO-directors and find that influential CEO-directors (ICDs) provide value through advising and monitoring. To expansively capture their relative influence, we identify CEO-directors who command more pay than the appointing firm's CEO. We find ICDs are more (less) likely to serve on the compensation (audit) committee. ICDs serve on more board seats and benefit more by serving on these seats. ICDs improve the performance of their appointing firm by increasing CEO pay-performance sensitivities and by helping with R&D and M&A activities. Alternatively, uninfluential CEO-directors are largely inconsequential or even detrimental to the appointing firm.     

Too fast or too slow? Determining the optimal speed of financial markets

Market quality is maximized at intermediate batch auction intervals of a few seconds when markets are neither too fast nor too slow and clearing price is near equilibrium     

Spillover effects of the 2008 global financial crisis on the volatility of the Indian equity markets: Coupling or uncoupling? A study on sector-based data

This paper focuses on the following question: has the global financial stress in the US markets during the subprime crisis induced a persistent volatility of Indian equity stocks? We answer this question using sector-based data and we propose a simple stochastic volatility model augmented with exogenous inputs (financial stress indicators in the US market). We derive analytically the autocorrelation of the squared returns using cross-moments and estimate the impact of several variables such as the CDS spreads, the ABCP spreads, market liquidity, the volatility of the S&P 500 using a Kalman filter approach with the impact captured through Almon polynomials. We find a strong evidence of persistent volatility irrespective of the sector and interpret this finding as the result of two factors: the lower liquidity of the Indian equity markets during the subprime crisis and a wake-up call effect.     

How do IMF announcements affect financial markets in crises?: Evidence from forward exchange markets

We employ a theoretical model to interpret the liquidity and moral hazard effects of IMF support during a financial crisis. We then estimate the response of forward exchange markets to IMF-related announcements, using data on the 3-, 9-, and 12-month forward exchange rates. Our results indicate that the announcement of IMF negotiations is associated with a premium on the baht and the rupiah, where the premium is much larger on the latter. This result is largely consistent with the responses of stock and bond markets, especially when country-specific data are employed.