Extreme Dependence under Uncertainty: an application to Stock,Currency and Oil Markets

We explore the impact of uncertainty on financial markets in the aftermath of the global financial crisis. In particular, we investigate the temporal dynamics of the dependence structure of stock, currency and oil markets in the United States using a nonparametric copula approach. Policy uncertainty is modeled via the EPU index of Baker et al. ( 2013 ). We find evidence of a pronounced extreme tail asymmetric interrelationship between the crude oil market and economic uncertainty.     

Spillovers and connectedness among BRICS stock markets,cryptocurrencies, and uncertainty: Evidence from the quantile vector autoregression network

In this study we advance the understanding of the spillovers and connectedness network among conventional and Islamic BRICS stock markets, cryptos (Bitcoin, Ethereum, Litecoin) and various global uncertainties, using a quantile vector autoregression method and daily data covering the period October 8, 2016, to May 28, 2021. Further, the study uses a network and sensitivity analyses to assess the nexus, examines risk causes, and the transfer paths in these markets under bearish, normal, and bullish markets. The evidence offers major findings. First, the overall static and dynamic connectedness is very high and more intense at extreme events. Second, the network connectedness structure shows that the markets have played both roles: net transmitters and receivers of shocks under several market states. Finally, the sensitivity to quantiles analysis shows switching behavior of net transfer spillovers over the quantiles. This could be beneficial to investors aiming at optimizing hedging strategies. Policymakers should consider carefully the overall network connectedness in the market system and formulate appropriate policies to conceive stock market price sensitivity.     

Dependence dynamics of stock markets during COVID-19

Stock markets have exhibited increased returns connectedness during the COVID-19 period. We examine the returns dependence among 42 stock markets classified under various emerging and developed groupings. We apply several dependence measures to examine the returns connectedness among the markets. Our results show that stock markets from the G-7 and Emerging Frontier and Asian (EFA) region exhibit high connectedness with other international markets, while Middle East and North African (MENA) and Latin American (LA) stock markets offer high diversification opportunities through low returns connectedness. The returns coherence of Central and East European (CEE) and G-7 markets increase significantly during the COVID-19 period which supports the hypothesis of contagion. However, during the pandemic MENA stock markets (excluding Greece) and most EFA markets (excluding China, Singapore and Korea) remain less cointegrated with other international equity markets. Our results have implications for individual and institutional investors, fund managers and other financial market stakeholders.     

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.     

Exchange rate regimes, globalisation, and the cost of capital in emerging markets

This paper presents a multifactor asset pricing model for currency, bond, and stock returns for ten emerging markets to investigate the effect of the exchange rate regime on the cost of capital and the integration of emerging financial markets. Our results suggest that a fixed exchange rate regime system can help reduce the cost of capital in emerging markets by reducing the currency risk premia demanded by foreign investors.     

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.     

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.     

Tail-event driven NETwork dependence in emerging markets

This paper employs the Tail Event NETwork (TENET) to identify financial markets with greater potential risk, and simultaneously investigate the interdependence between them. We find strong time-varying connectedness across 23 emerging markets during the main crisis episodes, including the most recent COVID-19 pandemic, using data from January 1995 to May 2021. The network analysis revealed that emerging European markets are top risk transmitters, whereas emerging Asian markets are top risk receivers. China showed disconnection from the network, reflecting its diversification potential for investors. Our findings offer several policy and regulatory implications.     

Valuation uncertainty,home and host market uncertainty,and cross-border seasoned equity offerings

This study examines how market timing can affect host market reaction to cross-border seasoned equity offerings (SEOs), an event generally viewed unfavorably by investors. We assume that firms engage in market timing in response to valuation uncertainty (VU), home market uncertainty (HMU) and/or host market uncertainty (HSU), and that raising capital abroad faces higher scrutiny costs and familiarity bias from host market investors. We conjecture that timing strategies provide signals that vary in strength to host market investors and that dual-timing strategies may strengthen an existing signal. Our hypotheses are tested on a sample of 190 cross-border SEOs that were issued on the U.S. stock market between 1990 and 2017 by firms from 29 countries. Using event study methodology, we find that market timing based on VU is negatively related to host market valuation and that a dual-timing strategy with HMU or HSU generally produces a stronger signal. Our results have practical relevance for stock markets that suffer from high uncertainty; we estimate that a high VU firm with a $1 billion valuation suffers a drop of $31.3 million in market valuation during a high host market uncertainty (high HSU) compared with low host market uncertainty (low HSU).     

China's segmented stock market: An application of the conditional international capital asset pricing model

China's segmented stock market provides an opportunity to study conditional international asset pricing from multiple viewpoints—domestic and foreign. We use the multivariate GARCH-M framework of De Santis and Gérard [De Santis, G., and Gérard, B., 1998. How big is the premium for currency risk? Journal of Financial Economics 49, pp. 375–412.], but add conditional local specific risk and find global, local, and currency risk to be priced and time-varying in Chinese markets, suggesting mild segmentation for developing country markets. The time-varying price of currency risk indicates that the strict currency restrictions in China do not sufficiently reduce currency risk to stabilize the price of currency risk. We also find that the price of local risk in the Chinese A stock market is non-time-varying relative to the developed market, but time-varying relative to the emerging market. This finding implies that the Chinese A stock market is more comparable to a developed market than an emerging market. However, results on Chinese B shares show the opposite relationship: from a foreign investor's perspective, Chinese B shares are better categorized as being emerging than developed. This is further supported by an Engle–Granger cointegration test.     

Cross‐market correlations and transmission of information

We investigate characteristics of cross‐market correlations using daily data from U.S. stock, bond, money, and currency futures markets using a new multivariate GARCH model that permits direct hypothesis testing on conditional correlations. We find evidence that arrival of information in a market affects subsequent cross‐market conditional correlations in the sample period following the stock market crash of 1987, but there is little evidence of such a relationship in the precrash period. In the postcrash period, we also find evidence that the prime rate of interest affects daily correlations between futures returns. Furthermore, we find that conditional correlations between currency futures and other markets decline steeply a few months before the crash and revert to normal dynamics after the crash. © 2002 Wiley Periodicals, Inc. Jrl Fut Mark 22:1059–1082, 2002     

Systemic risk spillovers and the determinants in the stock markets of the Belt and Road countries

We construct time-varying tail risk networks to investigate systemic risk spillovers in the Belt and Road (B&R) stock markets during 2008–2021. Network metrics clearly reflect aggregate risk level and individual risk accumulation for the B&R stock markets under extreme events (e.g., 2008 financial crisis and COVID-19 pandemic). Tail-event driven network quantile regression analysis shows that network impacts of the B&R stock markets under different risk levels are asymmetric and regional heterogeneity. Panel analysis on determinants of systemic risk spillovers shows that cross-border investment and international trade are significant contagion channels while economic freedom is potential driver.     

Market integration and contagion: Evidence from Asian emerging stock and foreign exchange markets

This paper examines whether Asian emerging stock markets (India, Korea, Malaysia, Philippines, Taiwan, and Thailand) have become integrated into world capital markets since their official liberalization dates by estimating and testing a dynamic integrated international capital asset pricing model (ICAPM) in the absence of purchasing power parity (PPP) using an asymmetric multivariate GARCH(1,1)-in-Mean approach. Also examined in this paper is whether there are pure contagion effects between stock and foreign exchange markets for each Asian country during the 1997 Asian crisis. The empirical results show that first, both currency and world market risks are priced and time-varying, suggesting that an international asset pricing model under PPP and constant price of risk might give rise to model misspecification. Second, the stock markets for India, Korea, Malaysia, Philippines, and Thailand were segmented from the world capital markets before their liberalization dates, but all six markets have become fully integrated since then. Third, the market liberalization has reduced the cost of capital and price volatility for most of the countries. Finally, as for the contagion effects, strong positive impact of return shocks originating from the domestic stock market to its foreign exchange market during the crisis is found. This dynamic relationship between stock market and foreign exchange market is consistent with stock-oriented exchange rate models.     

Volatility transmission in regional Asian stock markets

This study aims to investigate the presence of volatility transmission among regional equity markets of Pakistan, China, India, and Sri Lanka. Moreover for developed countries, the stock indices of USA, UK, Singapore, and Japan have been considered. If countries of the same region have a long run relationship then chances of an optimum currency area increases whereas, a diversification strategy to reduce risk is not workable. Results among the developed and Asian countries show that volatility transmission is present between friendly countries of different regions with economic links. We also find some evidence of transmission of volatility between countries which are on unfriendly terms.     

Does the Euro affect the dynamic relation between stock market liquidity and the business cycle?

Does Eurozone equity market liquidity affect economic growth? If so, how does the Euro currency affect the dynamic relationship between growth and stock market liquidity (macro-liquidity relation) of the Eurozone? We address these questions using data from ten Eurozone countries and the UK. The findings document the predictability role of liquidity proxies on economic growth, suggesting that stock market liquidity influences economic growth. The results reveal that liquidity increases substantially after a structural break realized around the Euro's introduction in Europe, and in all countries except Portugal we find that liquidity improvement coincides with higher growth. During periods of high exchange-rate volatility between currencies (which tend to be periods of high uncertainty and economic convergence), growth becomes highly affected by stock market liquidity movements.     

Extreme dependence and risk spillovers between oil and Islamic stock markets

This paper examines the downside and upside risk spillovers and dependence structure between five Islamic stock markets (the Islamic Market World index, Islamic indices of USA, UK, Japan and the Islamic Financials sector index) which are of paramount importance for faith-oriented investors and particpants in the oil market. The results underscore the presence of time-varying lower tail dependence between the oil and Islamic stock markets. Furthermore, we provide supportive evidence of asymmetric down- and up-side risk spillovers from oil to the Islamic stock markets and vice versa. Finally, these asymmetric risk spillovers have significantly increased after the global financial crisis.     

Devaluation,Innovation, and Prices

We investigate the effects of exchange rate changes on innovation by a multinational corporation. The firm enjoys a monopoly in the home market but engages in Cournot competition with a domestic firm in the foreign market. Changes in currency values affect the multinational firm’s profits in domestic currency units, and thus influence the optimal level of process innovation as well as output and prices in the two markets. We find that a devaluation of the home currency will lead the home firm to increase its output in both the home and foreign markets, and increase its spending on R&D. We also find that currency devaluation in the home market leads to lower prices in both markets.     

Quantile price convergence and spillover effects among Bitcoin,Fintech, and artificial intelligence stocks

This research explores the distributional and directional predictabilities among Fintech, Bitcoin, and artificial intelligence stocks from March 2018 to January 2021 using nonparametric causality-in-quantile and crossquantilogram approaches. We also examine connectedness across the assets using a quantile VAR approach. The results indicate the existence of bidirectional causality-in-variance between the variables in a normal market. We also find that directional predictability among the assets is oscillatory over time lags. Finally, we observe a strong price connectedness for highly positive and negative changes. These results further document the diversification potential and safe-haven properties of technology-related assets for portfolio investors.     

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).     

The anatomy of financial crises: Evidence from the emerging ADR market

We study the anatomy of recent financial crises in Mexico, East Asia, Russia, Brazil, Turkey, and Argentina by investigating the efficiency and pricing of the emerging American depositary receipt (ADR) market. We use a non-parametric technique to test for persistent regime shifts in two basic structural relationships for ADR returns in 20 emerging countries — identified via arbitrage and capital mobility considerations — that should always hold in efficient and integrated capital markets. We find that those “normal” market conditions were instead often violated in proximity of financial crises: The law of one price often weakened (by 54% on average) and domestic sources of risk became more important (often by more than 100%) for many emerging ADRs. We also find the likelihood of these regime shifts to be related to proxies for uncertainty among investors, exchange rate volatility, trade linkages, and liquidity (but not stock market trends, currency devaluations, capital flight, or capital controls).