Does global fear predict fear in BRICS stock markets? Evidence from a Bayesian Graphical Structural VAR model

We examine the predictive power of implied volatility in the commodity and major developed stock markets for the implied volatility in individual BRICS stock markets. We use daily data from March 2011 to October 2016 and employ the newly developed Bayesian Graphical Structural Vector Autoregressive (BGSVAR) model of Ahelegbey et al. (2016). Evidence suggests that the predictability of individual implied volatilities in BRICS is generally a function of both global and within the group stock market implied volatilities, and that the role of commodity market volatility is marginal, except for South Africa. Important implications for policy-makers and portfolio-managers are discussed.     

Risk substitution in cryptocurrencies: Evidence from BRICS announcements

We investigate the impact of BRICS regulatory announcements on cryptocurrency volatilities and returns. Results evidence risk substitutions after announcements moving from ETH, XRP and LTC to BTC and vice versa, with BTC having volatility reactions to regulatory announcements that differ from those of other cryptocurrencies. Bootstrap quantile regression indicates a stronger detrimental impact of announcements when BTC is currently manifesting lower volatility and higher daily returns. Robustness checks confirm our findings, as well as evidence that the cryptocurrencies in our sample are considerably more reactive to BRICS announcements than US Fed announcements, suggesting important linkages between emerging markets and cryptocurrencies.     

Bond markets co-movement dynamics and macroeconomic factors: Evidence from emerging and frontier markets

This paper examines the co-movement dynamics of ten emerging and four frontier government bond markets with the US market and the impact of macroeconomic factors and global bond market uncertainty on the time-varying co-movement. We find that macroeconomic factors play important role in explaining time variations in the bond return co-movement. Specifically, domestic macroeconomic factors have higher relative importance than global factors, with domestic monetary policy and domestic inflationary environment identified as the most influential factors. The global bond market uncertainty, based on an implied volatility measure, has explanatory power in driving co-movement dynamics in emerging and frontier bond markets.     

Time and frequency connectedness of uncertainties in cryptocurrency,stock, currency,energy, and precious metals markets

This paper examines the connectedness of uncertainty in cryptocurrency, stock, currency, and commodity markets. We use the novel news-based cryptocurrency uncertainty indices of Lucey et al. (2021) and global implied volatility indices as uncertainty proxies for stock, currency, energy, and precious metals markets. We analyze weekly data between January 2014 and May 2021, employing the time and frequency connectedness measures of Diebold and Yilmaz (2012) and Baruník and Křehlík (2018). Our results show a low degree of uncertainty connectedness between cryptocurrency and other markets. The results imply long-term diversification opportunities and highlight the distinct dynamics of the cryptocurrency markets.     

Dynamic Global Linkages of the BRICS Stock Markets with the United States and Europe Under External Crisis Shocks: Implications for Portfolio Risk Forecasting

Crisis shocks often lead to changes in the interdependence across stock markets and thus affect risk assessment and management. This paper investigates the extent to which the global financial crisis of 2008–09, which was triggered by the US subprime crisis in 2007, and the European debt crisis that started at the end of 2009, affects the interdependence of the leading emerging markets of the BRICS countries with those of the United States and Europe. Our empirical analysis makes use of the FIAPARCH model combined with the Dynamic Equicorrelation (DECO‐FIAPARCH), which allows for the estimation of market linkage for a large group of countries as a whole, while controlling for asymmetric volatility and long memory. The results reveal the presence of important changes in the time‐varying linkages of the BRICS stock markets with the US and European ones. In particular, the average linkages have significantly been higher between 2007 and the first half of 2012 than the remaining part of the sample, and there is also evidence of a structural change around the Lehman Brothers collapse. We also show the effects of these stylised facts on portfolio risk assessment and forecasting.     

Do global factors impact BRICS stock markets? A quantile regression approach

This paper examines the dependence structure between the emerging stock markets of the BRICS countries and influential global factors. Using the quantile regression approach, our results for the period from September 1997 to September 2013 show that the BRICS stock markets exhibit dependence with the global stock and commodity markets (S&P index, oil, and gold) as well as changes in the U.S. stock market uncertainty (CBOE Volatility Index). This dependence structure is often asymmetric and affected by the onset of the recent global financial crisis. By contrast, the U.S. economic policy uncertainty has no impact on the BRICS stock markets.     

Financial connectedness of BRICS and global sovereign bond markets

The paper examines the financial connectedness via return and volatility spillovers between Brazil, Russia, India, China and South Africa (BRICS) and three global bond market indices represented by the United States of America (USA), European Monetary Union (EMU) and Japan for the period 01 January 1997 to 27 July 2016 (weekly data). We find that Russia followed by South Africa is the net transmitter of shocks within BRICS, implying that the risk arising from these markets may have an adverse impact on others in BRICS. However, China and India exhibit weak connectedness, suggesting that these markets may be useful for hedging and diversification opportunities in BRICS. The networks of pairwise spillover results further confirm this. Among global indices, China appears as highly interconnected with the USA. USA is the strongest transmitter of shocks to BRICS bond indices. The panel data results further confirm the significant determinants of net directional spillover. Thus, we can conclude that BRICS is a heterogeneous asset class even in the case of the bond market. India and China are the markets to look for better risk management strategies.     

Experience-based corporate corruption and stock market volatility: Evidence from emerging markets

This paper reassesses how “experience-based” corporate corruption affects stock market volatility in 14 emerging markets. We match the World Bank enterprise-level data on bribes with a unique cross-country macroeconomics dataset obtained from the World Bank development indicators. It is found that wider coverage of “realized” corporate corruption in the emerging markets investigated reduces the stock market volatility, attributed to decrease in uncertainty about government policy with regard to the business environment, as implied by the general equilibrium model of Pastor and Veronesi (2012). Overall, our results suggest that stock price volatility decreases as the uncertainty about government policy becomes more predictable, which is consistent with the testable hypotheses of Pastor and Veronesi (2012).     

Dollarization,Inflation Targeting,and Inflationary Dynamics in Ghana

ABSTRACT

The impact of dollarization on domestic economic performance, and the welfare implications of high inflation in an inflation targeting environment, have remained a matter of much concern for policymakers in recent years. This study investigates the effects of dollarization on inflation and inflation uncertainty in Ghana for the period January 1990 to December 2017. We apply the exponential Generalized Autoregressive Conditional Heteroskedasticity model together with impulse response and Granger causality tests to explore how dollarization affects the behavior of inflation for the pre-inflation targeting period (January 1990 – May 2007) and post-inflation targeting period (June 2007 – December 2017). The results indicate that dollarization has not played a significant role in the volatility of inflation in Ghana. Also, inflation Granger causes dollarization in both the pre- and post-inflation targeting regimes. Finally, there is a bidirectional causal relationship between inflation and inflation uncertainty following the adoption of inflation targeting monetary policy. We conclude that, although inflation targeting has not presented a significant impact on inflation volatility, it has affected the relationship between inflation and inflation uncertainty in Ghana. The dynamics of inflation volatility and asymmetries present crucial implications which are discussed to guide policymaking.     

Spillover Effects among European,the US and Moroccan Stock Markets before and after the Global Financial Crisis

ABSTRACT

This paper assesses return and volatility spillovers among stock markets in Morocco, the US, UK, France and Germany represented respectively by MASI, S&P 500, FTSE 100, CAC 40 and DAX 30 indices, both before and after the global financial crisis (GFC) of 2008. The daily frequency data cover the period from January 2nd, 2002 to June 30th, 2016. Using the Diebold and Yilmaz approach, the results show varying financial connectedness between the Moroccan and the above mentioned developed stock markets. In fact, the significant increase of spillover index during the post-financial crisis period demonstrates that the US and European stock markets were the most affected. On the other hand, despite a relative increase of spillover effects coming from the US and German equity markets, our results show decline in the total net spillovers experienced by the Moroccan market after the recent financial crisis. These findings may provide some useful information to support decision-making and trading strategies for international investors.     

The Fed's policy decisions and implied volatility

This study examines how the Fed's monetary policy decisions affect the implied volatility of the S&P 500 index. The results show that stock market uncertainty is significantly affected by the Fed's policy decisions. In particular, we find that implied volatility generally decreases after FOMC meetings, while the relationship between target rate surprises and market uncertainty appears positive. However, our results also suggest that the apparent positive relationship between policy surprises and implied volatility is mostly driven by the volatility‐reducing effects of negative surprises. We further document that implied volatility is affected by both scheduled and unscheduled policy actions, with the scheduled path surprises having the strongest impact on volatility. Finally, our findings indicate that the impact of monetary policy decisions on implied volatility is more pronounced during periods of expansive policy. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark     

BRICS: How important is the exchange rate pass-through?

This paper analyses the exchange rate pass-through (ERPT) into domestic consumer prices in BRICS (Brazil, Russia, India, China and South Africa) countries from mid-1990s onwards by using three different econometric approaches (i.e., the single equation approach, the VAR approach and the time-varying parameter approach). It is also studied the role of macroeconomic determinants in ERPT. Our results suggest that (a) ERPT is higher for the emerging markets with mostly floating exchange rates (Brazil, Russia and South Africa) than for the other BRICS countries; (b) exchange rate explains, on average, around the 40% of the price variance for Brazil, Russia and South Africa; and (c) inflation volatility, exchange rate volatility and openness seem to be the key macroeconomic determinants in BRICS countries.     

How Have the Emerging Stock Exchanges in Africa Responded to Market Reforms?

Abstract

In this paper, we focus on how the stock markets in Africa have responded to the reform process. We identify three main types of reforms implemented in these markets since the 1990s, namely revitalization of the regulatory framework, modernization of trading systems, and relaxation of restrictions on foreign investors. We invoke market microstructure theory to hypothesize the expected response of the markets in terms of efficiency and volatility to the three types of reforms. Econometric methods are applied to test the hypotheses on a sample of ten stock exchanges, for the period 1988:01-1999:12. The evidence generally suggests that there are benefits of investments to improve market microstructure. For example, a comparative analysis across the sample demonstrates that markets with advanced trading technology, tight regulatory system and relaxed foreign investors' participation show greater efficiency and lower market volatility. Although direction of causality between efficiency and volatility varies across the markets, in general, we infer that reforms, which reduce volatility, reap higher efficiency. However, in some markets, the effects of the reforms are too recent to show any clear response pattern.     

Who knows more about future currency volatility?

We use four currency pairs from October 1, 2001 to September 29, 2006 to compare the predictive power of the implied volatility derived from currency option prices that are traded on the Philadelphia Stock Exchange (PHLX), Chicago Mercantile Exchange (CME), and over‐the‐counter market (OTC). Among the competing implied volatility forecasts, OTC‐implied volatility subsumes the information content of PHLX‐ and CME‐implied volatility. Consistent with extant studies our result also shows that the implied volatility provides more information about future volatility–regardless of whether it is from the OTC, PHLX, or CME markets–than time series based volatility. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:270–295, 2009     

The Effect of 2008 Crisis on the Volatility Spillovers among Six Major Markets

The scope of this paper is to determine whether global stock markets function differently under conditions of economic crisis by measuring volatility spillovers between six major markets, namely the US, the UK, Germany, Spain, Turkey, and Greece. We examine the volatility spillover effects of the 2008 US financial crisis to these six major markets using daily stock returns from January 2003 to December 2014, before, during, and after the 2008 financial crisis. We combine the Diebold and Yilmaz methodology with the stochastic volatility model of Taylor implemented through the sequential Efficient Importance Sampling method of Richard and Zhang to obtain variance decompositions derived from an estimated vector autoregressive model. The empirical findings suggest that stock markets tend to show increased volatility spillovers during the crisis period, thus resulting in lesser diversification benefits for investors.     

The information content of implied volatility in agricultural commodity markets

In this article we compare the incremental information content of lagged implied volatility to GARCH models of conditional volatility for a collection of agricultural commodities traded on the New York Board of Trade. We also assess the relevance of the additional information provided by the implied volatility in a risk management framework. It is first shown that past squared returns only marginally improve the information content provided by the lagged implied volatility. Secondly, value‐at‐risk (VaR) models that rely exclusively on lagged implied volatility perform as well as VaR models where the conditional variance is modelled according to GARCH type processes. These results indicate that the implied volatility for options on futures contracts in agricultural commodity markets provides relevant volatility information that can be used as an input to VaR models. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:441–454, 2003     

Emerging Equity Market Volatility

Abstract

This paper considers two emerging markets that are under-researched, Kenya and Nigeria. It offers a comprehensive view of four time properties that emerged from the empirical time series literature on asset returns: (1) the predictability of returns from past observations; (2) the auto-regressive behavior of conditional volatility; (3) the asymmetric response of conditional volatility to innovations; and (4) the conditional variance risk premium. Results of the exponential GARCH (EGARCH) model indicate that asymmetric volatility found in the U.S. and other developed markets also characterized the Nigerian stock exchange. In Kenya, however, the asymmetric volatility coefficient is significant and positive, suggesting that positive shocks increase volatility more than negative shocks of an equal magnitude. The Nairobi Stock Exchange (KSE) returns series report negative but insignificant risk-premium parameters. In Nigeria (NSE), return series exhibit a significant and positive time-varying risk premium. The results also show that expected returns are predictable, that the auto-regressive return parameters (? ₁ ) are significant in both Kenya and Nigeria. Finally, the GARCH parameter (b) is statistically significant, indicating that volatility persistence is present in the two emerging markets studied.     

Examining the Return–Volatility Relation for Foreign Exchange: Evidence from the Euro VIX

We compare the return–volatility relation for the euro currency to the equivalent relation for the equity market, examining the sign, symmetry, and strength of the relation. We employ the euro‐currency exchange‐traded fund (FXE) and its associated option implied volatility index (the EVZ), whereas previous studies only employ equities and/or realized volatility. The equity studies find a negative asymmetric return–volatility relation for implied volatility, with a strong relation when large market movements occur. We find that the euro return–volatility relation can possess either a positive or negative sign, is asymmetric, and has a weaker relation. Thus, the sign and strength of the euro relation differs from the equivalent equity relation. Our quantile regressions show that both the positive and negative contemporaneous returns of the euro result in increased volatility in the extreme quantiles of the conditional distribution, with the contemporaneous effect showing a stronger relation when the euro depreciates. We also find that the volume of the euro‐currency ETF options affects the return–volatility relation for the euro ETF. Overall, the results here expand the concept originally restricted to equities, with the surprising results that the return‐implied volatility relation is weaker and the asymmetric return sometimes is positive for the euro currency. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 34:74–92, 2014     

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     

Indian equity options: Smile,risk premiums,and efficiency

We study the pricing of equity options in India which is one of the world's largest options markets. Our findings are supportive of market efficiency: A parsimonious smile-adjusted Black model fits option prices well, and the implied volatility (IV) has incremental predictive power for future volatility. However, the risk premium embedded in IV for Single Stock Options appears to be higher than in other markets. The study suggests that even a very liquid market with substantial participation of global institutional investors can have structural features that lead to systematic departures from the behavior of a fully rational market while being “microefficient.”