Economic engagement and within emerging markets integration

We explore the co-movements between emerging markets by employing dynamic conditional correlation approach. We additionally explore the factors that might drive the conditional correlations between emerging markets. We show that trade with the high income countries is a more important driver of the co-movements between emerging markets relative to trade with other emerging markets either within or outside the geographic region of the given country. We further document that the overall health of an economy, investment and market depth explain the correlation between emerging markets. Evidence is also provided that although, the recent emerging markets and global financial crises raised the correlation between emerging markets, not all country pair correlations increased around the period of the crisis. The findings show that economic engagement as opposed to geographic proximity is more relevant in describing within emerging markets integration. The findings suggest that diversification gains could be achieved by strategically investing across some emerging markets even in crisis periods.     

The Global Crisis and Equity Market Contagion

We analyze the transmission of the 2007 to 2009 financial crisis to 415 country‐industry equity portfolios. We use a factor model to predict crisis returns, defining unexplained increases in factor loadings and residual correlations as indicative of contagion. While we find evidence of contagion from the United States and the global financial sector, the effects are small. By contrast, there has been substantial contagion from domestic markets to individual domestic portfolios, with its severity inversely related to the quality of countries’ economic fundamentals. This confirms the “wake‐up call” hypothesis, with markets focusing more on country‐specific characteristics during the crisis.     

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.     

Determinants of financial stress in emerging market economies

The global financial crisis of 2008–2009 illustrates how financial turmoil in advanced economies could trigger severe financial stress in emerging markets. Previous studies dealing with financial crises and contagion show the linkages through which financial stress are transmitted from advanced to emerging markets. This paper extends the existing literature on the use of financial stress index (FSI) in understanding the channels of financial transmission in emerging market economies. Using FSI of 25 emerging markets, our panel regression estimates show that not only advanced economies FSI, but also regional and nonregional emerging market FSIs significantly increase domestic financial stress. Our findings also suggest that there is a common regional factor significantly affecting domestic FSI in emerging Asia and emerging Europe. Furthermore, the results from a structural vector autoregression model with contemporaneous restrictions indicate that although a domestic financial shock still accounts for most of the variation in domestic FSI, regional shocks play an important role in emerging Asia.     

Currency crises and monetary policy: A study on advanced and emerging economies

The studies regarding the appropriate monetary policy response in defending the domestic currency following a currency crisis do not gather around a robust answer. This study tries to emphasize the notion that there is no single policy applicable for all currency crises happened and happening in the global world. The approach of the study is presenting empirical evidence by focusing separately on the advanced and emerging economies and proving that the monetary policy response for the emerging economies should be different from the advanced economies, depending mainly on the vulnerabilities of these economies preceding and during the crisis periods. The study includes twenty four economies, in which fifteen of them are emerging and nine of them are advanced, for the crisis periods between 1986 and 2009. The main finding of the study is that the tight monetary policy is effective in the advanced economies, and detrimental in the emerging economies faced financial turbulence. The monetary policy has no significance in recent crisis episodes both for advanced and emerging economies. Advanced economies besides having more independent central banking, lower country riskiness and almost no default history; mainly have second generation model weaknesses which cause the increased interest rates to be successful in stabilizing the exchange rates. For the emerging economies the third generation model weaknesses play a major role together with the first generation model vulnerabilities. Thus the major policy implication follows that the policy makers should take into account the economic fragilities during the crisis in implementing the monetary policy.     

Crisis transmission: Some evidence from the Asian financial crisis

We used a crisis measure of financial market as defined by Sexena (1998) to study the nature of crisis transmission and the channels through which the 1997 crisis was transmitted among Asian financial markets. Estimated with a vector autoregression (VAR) and an OLS model on Asian financial markets from January 1990 to December 1998, we found that:

1.

During the crisis period, crisis transmission was more significant than during other noncrisis periods;

2.

Comparing the crisis transmission within the industrialized countries (Taiwan, Korea, and Japan), within the emerging countries (Thailand, Malaysia, The Philippines, and Indonesia), and between the industrialized and emerging groups, it is shown that

2.1.

The crisis transmission among the three industrialized countries was not significant.

2.2.

The crises originated from Thailand and Malaysia were transmitted to other emerging countries.

2.3.

The crisis transmission between industrialized and emerging countries was not found to be significant. There was evidence showing that Singapore served as an intermediary transmitting crisis between industrialized and emerging countries during this particular crisis.

3.

The transmission through the wake-up call effect was found to be more significant than other transmission channels. Trade relationship and cash-in effects only existed in Korea, Thailand, and Malaysia.

     

Exchange rate volatility across financial crises

This paper studies the impact of global financial turmoil on the exchange rate policies in emerging countries. Spillovers from advanced financial markets to currencies in emerging countries are likely to be exacerbated during crisis periods. To test this hypothesis, we assess the exchange rate policies by currencies’ volatility and investigate their relationship to a global financial stress indicator, measured by the volatility on global markets. We introduce the possibility of nonlinearities by running smooth transition regressions over a sample of 21 emerging countries from January 1994 to September 2009. The results confirm that exchange rate volatility does increase more than proportionally with the global financial stress, for most countries in the sample. We also evidence regional contagion effects spreading from one emerging currency to other currencies in the neighboring area.     

Regionality revisited: An examination of the direction of spread of currency crises

What determines the direction of spread of currency crises? We examine data on waves of currency crises in 1992, 1994, 1997, and 1998 to evaluate several hypotheses on the determinants of contagion. We simultaneously consider trade competition, financial links, and institutional similarity to the “ground zero” country as potential drivers of contagion. To overcome data limitations and account for model uncertainty, we utilize Bayesian methodologies hitherto unused in the empirical literature on contagion. In particular, we use the Bayesian averaging of binary models that allows us to take into account the uncertainty regarding the appropriate set of regressors.We find that institutional similarity to the ground zero country plays an important role in determining the direction of contagion in all the emerging market currency crises in our dataset. We thus provide persuasive evidence in favour of the “wake-up call” hypothesis for financial contagion. Trade and financial links may also play a role in determining the direction of contagion, but their importance varies amongst the crisis periods.     

On cross-border bank credit and the U.S. financial crisis transmission to equity markets

This paper examines the role played by cross-border equity, bond and bank credit flows versus international trade in the transmission of the U.S. financial crisis to equity markets worldwide. We estimate vector autoregressive models with exogenous global factors using monthly data on 36 emerging and developed countries. The results from an eclectic methodology that includes causality tests, generalized impulse responses and forecast error variance decompositions indicate that the crisis is mostly transmitted through bank credit rather than portfolio flows and international trade. The results are robust to altering the exogenous versus endogenous vectors of variables, to measuring equity prices in U.S. dollars or local currency, to averaging the data across countries versus averaging the parameters from individual country estimation, and to redefining the start date of the crisis. The findings endorse the use of banking regulation and capital controls as part of the policy toolkit to limit financial vulnerability.     

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.     

Value-at-risk and the cross section of emerging market hedge fund returns

This paper examines the cross-sectional relationship between downside risk (Value at Risk) and expected returns in a sample of 1370 emerging market hedge funds (EMHF). We find that downside risk significantly drives expected returns for these funds, particularly before the global financial crisis, commanding an annual risk premium of over 12%. While EMHF differ from their advanced market counterparts in risk/return patterns, we show that the global financial crisis of 2008 has caused a structural shift in that pattern. Finally, we show that the risk premium associated with downside risk is predictable by the global financial cycle, even after we control for emerging market systematic risk factors.     

The 2008 financial crisis: Stock market contagion and its determinants

In this paper, we investigate worldwide contagion and its determinants during the 2008 financial crisis. Utilizing an international sample of returns from 2003 to 2009, we consider both uni- and bi-directional contagion. After controlling for crisis-related volatility, we find strong evidence that cross-market linkages increase among many financial markets. In contrast to previous crises, contagion following the 2008 global financial crisis is not confined to emerging markets. The United States and other mature financial markets in the sample transmit and receive contagion. Country markets are less influenced by regions than they are by other country markets. We also construct variables that represent relative changes in economic variables before and during the crisis. We find that both economic fundamentals such as trade structure, interest rates, inflation rates, industrial production, and regional effects, and investors’ risk aversion contribute to international contagion.     

Are there profit (returns) in Shariah-compliant exchange traded funds? The multiscale propensity

This paper is the first attempt to investigate the multiscale tendency of the co-movement and cross-correlation of nine Islamic Exchange Traded Fund (ETF) returns across the global developed and emerging markets using both wavelet coherence and wavelet MODWT methods. The wavelet coherence results tend to indicate consistent co-movement between most of the ETF returns especially in the long run. The study also uncovers evidence of wide variation of co-movement across the time-scales during the global financial crisis and the Euro debt crisis. Strong co-movement can be observed during the global financial crisis, both for the medium term investors and long term investors. The paper studies the relationship between different ETF returns using wavelet multi-resolution analysis. The cross-correlation analysis also shows certain significant and positive correlations between the ETF returns, especially during the period of global financial crisis. The findings from these two recent dynamic time-scale decomposition methodologies have important policy implications for both risk management and investors’ investment policy.     

Linkages between Indian and US financial markets: impact of global financial crisis and Eurozone debt crisis

This paper examines inter-linkages between Indian and US equity, foreign exchange and money markets using the vector autoregressive-multivariate GARCH-BEKK framework. We investigate the impact of global financial crisis (GFC) and Eurozone debt crisis (EZDC) on the conditional volatility and conditional correlation estimates derived from the multivariate GARCH model for Indian and US financial markets. Our results indicate that there is significant bidirectional causality-in-mean between the Indian stock market returns and the Rs./USD market returns, and significant unidirectional causality-in-mean from the US stock market returns to the Indian stock market returns. As regards volatility spillovers, we find that volatility in the Indian stock market rises in response to domestic as well as US financial market shocks but Indian financial market shocks do not impact the US markets. Further, impact of the recent crisis episodes on the covariance matrix is found to be significant. We find that volatility in the Indian and US financial markets significantly amplified during GFC. The conditional correlations across asset markets were significantly accentuated in the wake of the two crisis episodes. The impact of GFC on cross-market conditional correlations is higher for majority of the asset market pairs in comparison to the EZDC.     

全球金融周期与跨境资本流动

本文从全球42个主要的股票市场指数提取全球股票市场因子,作为全球金融周期的代理变量,考察全球金融周期对跨境资本总流入的影响。结果发现:(1)当全球股票市场因子(全球风险规避和不确定性)上升时,跨境资本流入显著下降;(2)一国处于经济繁荣时期,经济增速和利率处于相对较高水平,全球金融周期对资本流入的影响会减弱;(3)一国资本账户开放程度或金融发展水平越高,全球金融周期对资本流入的影响会越强;(4)更具弹性的汇率制度尽管不能完全隔绝全球金融周期的影响,但相比固定汇率制度,可提高一国抵御全球金融周期冲击的能力;(5)美国货币政策冲击是全球金融周期的重要驱动因素,并通过全球金融周期影响跨境资本流动。本文的政策含义在于,一国应夯实经济基本面、采取富有弹性的汇率制度和适当的资本管制措施,以缓解全球金融周期给资本流动带来的冲击。     

A MIDAS multinomial logit model with applications for bond ratings

In multinomial classification analysis, the issue of mixed-frequency data is becoming increasingly common. To solve the multiclassification problem in a mixed-frequency data environment with a large frequency ratio, we combine the restricted mixed data sampling (MIDAS) method with a multinomial logit (MLogit) model to construct a MIDAS-MLogit model. The MIDAS-MLogit model imposes functional constraints on high-frequency variable parameters and fully uses high-frequency information to complete multiclassification tasks in a mixed-frequency data environment. Through extensive Monte Carlo simulations, we prove that this novel MIDAS-MLogit model has better classification performance than conventional MLogit and U-MIDAS-MLogit models for solving multiclassification problems with a large frequency ratio. In addition, we use the MIDAS-MLogit model to predict the ratings of corporate bonds issued by Chinese-listed companies from 2008 to 2021 and find that its prediction accuracy outperforms several competitive models. We further verify the validity of the MIDAS-MLogit model for different periods, including the global financial crisis, the post-financial crisis, and the pandemic. The results show that all three models perform well during the global financial crisis, but the MIDAS-MLogit model predominates the post-financial crisis and pandemic periods. The empirical results also show that covariates from bond, corporate, and financial environment levels have varying effects on corporate bond ratings.     

Hot money in bank credit flows to emerging markets during the banking globalization era

This paper investigates the relative importance of hot money in bank credit and portfolio flows from the US to 18 emerging markets over the period 1988–2012. We deploy state-space models à la Kalman filter to identify the unobserved hot money as the temporary component of each type of flow. The analysis reveals that the importance of hot money relative to the permanent component in bank credit flows has significantly increased during the 2000s relative to the 1990s. This finding is robust to controlling for the influence of push and pull factors in the two unobserved components. The evidence supports indirectly the view that global banks have played an important role in the transmission of the global financial crisis to emerging markets, and endorses the use of regulations to manage international capital flows.     

How using derivatives affects bank stability in emerging countries? Evidence from the recent financial crisis

Based on banks exclusively from emerging countries over the whole period 2003–2011, this paper aims to investigate whether the use of derivative instruments are responsible in the amplification of the recent and global financial crisis. To do that, we measure the effect of derivatives use on stability of banks from emerging countries during normal period “the pre-crisis period”, 2003–2006, and turbulent period “the crisis and post-crisis period”, 2007–2011. We use the Generalized Methods of Moments (GMM) estimator technique developed by Blundell and Bond to estimate our regressions.The main findings show that contrarily to forwards and swaps – which are not disruptive factors – futures and especially options, weaken the stability of banks from emerging countries. The major conclusion is that only options and futures can be considered as risky derivatives and partly responsible in the intensification of the last financial crisis.     

A three-tiered nested analytical approach to financial integration: The case of emerging and frontier equity markets

This study investigates the patterns of integration of emerging and frontier equity markets with the US stock market during the period 2002–2014 characterised by financial turmoil and instability. To add rigour to the study, to overcome the limitations of simple correlation analysis of integration, and to produce more robust results, we propose a nested analytical approach based on a three-tiered research design. The first level uses the smooth transition conditional correlations among the US, emerging, and frontier markets. The second tier uses the results of the smooth transition approach to creating different international portfolios, which, based on alternative investment strategies, account for the time-varying correlations among markets and exploit the scope of international diversification with less integrated markets. Finally, the last tier of analysis uses returns and risks of these different international portfolios and applies structural models to explore characteristics and integration patterns in turbulent times. The three nested approaches indicate that the global financial crisis has produced a permanent increase in the degree of integration among the US and frontier markets. Conversely, the crisis's effect seems to have been only temporary in the case of integration among the US and emerging equity markets. Despite the changes brought by the crisis, the degree of integration among emerging markets and the US market is considerably more significant than the degree of integration among frontier and US markets. The novelty of this methodological approach enables us to provide some original contributions and empirical results that are robust and relevant to investors in international markets.     

Not all emerging markets are the same: A classification approach with correlation based networks

Using dynamic conditional correlations and network theory, this study brings a novel interdisciplinary framework to define the integration and segmentation of emerging countries. The individual EMBI+ spreads of 13 emerging countries from January 2003 to December 2013 are used to compare their interaction structure before (phase 1) and after (phase 2) the global financial crisis. Accordingly, the unweighted average of dynamic conditional correlations between cross country bond returns significantly increases in phase 2. At first glance, the increased co-movement degree suggests an integration of the sample countries after the crisis. However, using correlation based stable networks, we show that this is not enough to make such a strong conclusion. In particular, we reveal that the increased average correlation is more likely to be caused by clusters of countries that exhibit high within-cluster co-movement but not between-cluster co-movement. Potential reasons for the post-crisis segmentation and important implications for international investors and policymakers are discussed.