Finance and international business cycles

Business cycles are more correlated among countries that have similar financial structures. We first document this empirical regularity using OECD data, and then build a two-country DSGE model with financial frictions that replicates it. Alternative monetary policy regimes and parameter values are explored. Output co-movements increase when the countries involved are linked by a credible exchange rate peg and when they open up to trade; they decrease when their financial openness increases. The model also accounts for a number of stylized facts of international business cycles, such as the positive international correlation of output, investment and employment.     

中国金融周期与横向关联:时空双维度相结合视角

宏观审慎政策关注各金融子市场在时间维度上的金融周期和空间维度上的横向关联。本文结合时间维度与空间维度视角,使用股票市场、货币市场、房地产市场以及信贷市场的数据,测算2001—2019年中国金融周期和横向关联的波动特征、作用关系与频域叠加机理。研究结果表明:时间维度金融周期与空间维度横向关联的波动趋势具有一致性。我国金融周期长度约为10.33年,横向关联波动周期的长度约为10.58年。从作用关系上看,首先,我国房地产周期达到波峰后,会对股票市场和信贷市场产生较强的溢出效应。随后,股市周期达到波峰后,会向房地产市场和信贷市场产生较强的溢出效应。最后,我国信贷市场接受股票市场和房地产市场溢出后,信贷周期会逐渐达到波峰。从频域叠加机理的角度看,我国金融子市场间横向关联的波动主要由中低频波段驱动,中低频波段横向关联的持续期在2个月以上。     

Extreme co-movements and extreme impacts in high frequency data in finance

Extreme co-movement and extreme impact problems are inherently stochastic control problems, since they will influence the decision taken today and ultimately influence a decision taken in the future. Extreme co-movements among financial assets have been reported in the literature. However, extreme impacts have not been carefully studied yet. In this paper, we use the newly developed methodology to further explore extreme co-movements and extreme impacts in financial market. Particularly, two FX spot rates are studied. Based on the results of our analysis with FX returns, we conclude that there exist extreme co-movements and extreme impacts in FX returns and care has to be taken when we employ portfolio optimization models, especially models without the ability of handling extreme dependencies.     

Dynamic Currency Linkages and Their Determinants: An Empirical Study for East Asian Economic Community Region

In this article, Copula GARCH models have been employed to study the inter-temporal process of currency market co-movements between ASEAN+6 countries (referred to in this study as East Asian Economic Community) and ASEAN+6 currency market index. Empirical results show that the sample countries of the region exhibit varying levels of currency co-movements with the Asian benchmark. Markov regime switching results show that many of the countries which had high dependences with the regional currency index as was found in copula estimations had also overlapping currency market cycles. Using Principal Component Analysis, we find that three statistical factors explain exchange rate co-movements which came out to be trade linkages, economic risk, and currency market openness in our dynamic panel data estimation.     

Multivariate dependence of implied volatilities from equity options as measure of systemic risk

This paper presents a methodology to examine the multivariate tail dependence of the implied volatility of equity options as an early warning indicator of systemic risk within the financial sector. Using non-parametric methods of estimating changes in the dependence structure in response to common shocks affecting individual risk profiles, possible linkages during periods of stress are quantifiable while recognizing that large shocks are transmitted across financial markets differently than small shocks. Before and during the initial phase of the financial crisis, we find that systemic risk increased globally as early as February 2007 — months before the unraveling of the U.S. subprime mortgage crisis and long before the collapse of Lehman Brothers. The average (multivariate) dependence among a global sample of banks and insurance companies increased by almost 30% while joint tail risk declined by about the same order of magnitude, indicating that co-movements of large changes in equity volatility were more likely to occur and responses to extreme shocks became more differentiated as distress escalated. The key policy consideration flowing from our analysis is that complementary measures of joint tail risk at high data frequency are essential to the robust measurement of systemic risk, which could enhance market-based early warning mechanisms as part of macroprudential surveillance.     

Economic policy uncertainty and short-term financing: The case of trade credit

We examine the impact of economic policy uncertainty on trade credit. We document a decline (increase) in accounts payable, receivable, and net credit during periods of high (low) policy uncertainty and that firms react quickly to changes in uncertainty. The relation is long-term and holds after controlling for endogeneity, non-policy economic and political uncertainties, and the Great Recession. Industry competitiveness, proxied by firm market power, moderates the impact of economic policy uncertainty on trade credit. Uncertainty about monetary and fiscal policies, taxes, and regulations are the major drivers of trade credit changes. The reduction in trade credit during periods of increasing uncertainty can be explained by financial distress, constraints, and relation-specific investment channels.     

Dancing with dragon: The RMB and developing economies’ currencies

We analyse Chinese RMB co-movements with the currencies of other developing economies using daily data from January 1, 2006 to December 31, 2020. We find that the RMB plays an important role in East Asia & Pacific. Bilateral trade significantly increases the probability of RMB co-movements with other currencies while inflation differential decreases it. Additionally, the currencies of the economies that are more inclined to adopt a pegging system are less likely to co-move with the RMB. We further divide the sample into three sub-periods based on two major China’s currency reforms and the results are consistent with our main finding. We also investigate the nonlinear determinants of RMB co-movements in high and low volatility regimes, respectively, and show the different patterns. Last but not least, we find that RMB currency swap and the Belt and Road Initiative amplify RMB co-movements in larger and more developed economies.     

The effect of regulation on optimal corporate pension risk

We study firms' pension prefunding and portfolio allocation choices in a model in which firms trade off the need to compensate workers for the financial risk in their pension benefit against the cost advantage that may be gained by exploiting underpriced pension insurance. In the absence of pension insurance, the firm minimizes costs by rendering promised benefits free of risk to workers, who are assumed to be unable to hedge firm-specific risk. Various forms of government intervention, such as benefit guarantees, can alter this outcome dramatically by providing the firm with an incentive to shift risk to other parties. In this case, we find that the firm's decisions depend on, among other influences, the degree of insurance mispricing, the amount of guaranteed benefits, the stringency of minimum funding requirements, and the costs of financial distress.     

Co-movements of index options and futures quotes

We report evidence that the co-movements of index options and index futures quotes differ sharply from perfect correlation in periods with option trades. In half-hour intervals with (without) option trades 25% (12%) of call option quote changes have either the opposite sign or are larger in magnitude than the corresponding index futures quote changes. We calibrate a stochastic volatility model that allows for trade and no-trade periods using real data and simulate the joint co-movements of index quotes and option quotes in this model. We show that for trade intervals the observed co-movements differ from the benchmark case established by our simulations approximately three times too often. We provide empirical evidence that market microstructure effects – specifically, stale quotes and aggressive quotes – explain the majority of the deviations from the benchmark. Our findings are relevant for techniques that use estimates of local co-movements as inputs to price or hedge options.     

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.     

An Empirical Analysis of the Effect of Financial Distress on Trade Credit

This paper studies the use of supplier's trade credit by firms in financial distress. Trade credit represents a large portion of firms’ short‐term financing and plays an important role in financial distress. We find that firms in financial distress use a significantly larger amount of trade credit to substitute for alternative sources of financing. Firms that are smaller, with less market power, and with more unique products tend to use more trade credit financing when in distress. We also find that firms that significantly increase their trade payables when in financial distress, experience an additional drop of at least 11% in sales and profitability growth over the previously documented 21% average drop for financially troubled firms.     

我国金融市场与流动性关联研究——基于VAR模型的实证分析

本文运用结构型多向量自回归模型SVAR揭示了M2的变动对金融子市场的整体影响,结果显示M2的变动能在约7个月后对各金融子市场达到影响最大化。脉冲模拟则显示M2的变动容易造成股票市场短期波动而长期影响却不明显,对银行间债券市场的流动性则影响显著,其预测误差贡献率达到28%,从侧面证明银行间债券市场流动性风险易集聚。进一步的模型检验证明：银行间债券市场存在正反馈交易情况最为强烈,发生流动性黑洞可能性大于其它市场。最后,本文对实证结果作了原因分析并提出建议。     

Capital and credit market integration and real economic contagion during the global financial crisis

This study investigates the role of financial integration in the spread of global financial crisis. In particular, this study shows how the effect of the crisis on real business cycle co-movement varied for capital and credit market integration, using a sample of 58 countries in 2001–2013. During the global financial crisis, the United States – the epicenter of the crisis – experienced a severe downturn in the real economy, and other countries followed suit. We find that during the global financial crisis, the business cycle co-movements between the United States and the rest of the world were stronger when the level of capital market integration between them was higher. However, the co-movements were weaker when the level of credit market integration was higher. These findings are robust even when including investment channels, local fundamental factors, endogenous policy responses across countries, and alternative measures for financial integration and business cycle co-movements.     

Determinants of Financial Distress Costs

This paper provides international evidence on financial distress costs. To achieve this aim, we have developed a model where financial distress costs are determined, on the one hand, by making use of a more accurate indicator of the probability of financial distress and, on the other, by a set of variables that, according to financial theory, explain the magnitude of the costs borne by a firm in the case of financial distress. Our results reveal the relevance of our improved indicator of the probability of financial distress, since it positively affects financial distress costs in all the countries analyzed. Furthermore, since our model controls for the probability of financial distress, we can test the trade-off between the benefits and costs of debt. This allows us to verify that the benefits debt outweigh the costs. Our results also indicate that distress costs are negatively related to liquid assets; hence, their benefits more than offset their opportunity costs.     

Financial friction in an emerging economy

The objective of this study is to evaluate the role of the frictional domestic credit market in an emerging country by using a small-open-economy DSGE model with a banking sector. The calibration results show that the financial friction does not significantly influence the macroeconomic effects of the shocks to the domestic productivity, foreign interest rate and export demand. We also evaluate whether and how the trade and financial openness can influence the effects of the domestic financial shocks that in turn affect the supply of loans in the credit market. We show that greater trade and financial openness can reduce the macroeconomic impacts of the domestic financial distress. Under a more open international capital market, the capital outflow caused by the domestic financial shock does not lead to drastic exchange rate variation. This helps dampen the adverse effects of the financial distress on the economy.     

Stock market crashes,firm characteristics,and stock returns

A number of studies have investigated the causes and effects of stock market crashes. These studies mainly focus on the factors leading to a crash and on the volatility and co-movements of stock market indexes during and after the crash. However, how a stock market crash affects individual stocks and if stocks with different financial characteristics are affected differently in a stock market crash is an issue that has not received sufficient attention. In this paper, we study this issue by using data for eight major stock market crashes that have taken place during the December 31, 1962–December 31, 2007 period with a large sample of US firms. We use the event-study methodology and multivariate regression analysis to study the determinants of stock returns in stock market crashes.     

Monetary policy and financial (in)stability: An integrated micro–macro approach

Evidence on central banks’ twin objective, monetary and financial stability, is scarce. We suggest an integrated micro–macro approach with two core virtues. First, we measure financial stability directly at the bank level as the probability of distress. Second, we integrate a microeconomic hazard model for bank distress and a standard macroeconomic model. The advantage of this approach is to incorporate micro information, to allow for non-linearities and to permit general feedback effects between financial distress and the real economy. We base the analysis on German bank and macro data between 1995 and 2004. Our results confirm the existence of a trade-off between monetary and financial stability. An unexpected tightening of monetary policy increases the probability of distress. This effect disappears when neglecting microeffects and non-linearities, underlining their importance. Distress responses are largest for small cooperative banks, weak distress events, and at times when capitalization is low. An important policy implication is that the separation of financial supervision and monetary policy requires close collaboration among members in the European System of Central Banks and national bank supervisors.     

DOES THE OCTOBER 1987 CRASH STRENGTHEN THE CO-MOVEMENTS AMONG NATIONAL STOCK MARKETS?

This study examines the effect of the October 1987 crash on the co-movements among national stock markets. Interrelationships among the price movements in different national stock markets are analyzed using correlation and exploratory factor analysis. The data on weekly returns of 12 national stock market indices over the period from August 1984 to December 1990 are used in both local-currency and U.S. dollar terms for the analysis. This study finds that national stock markets became more interrelated after the crash, and the strengthening co-movements among national stock markets continued for a longer period after the crash. In addition, it is shown that the co-movements among national stock markets were stronger when the U. S. stock market was more volatile. These results imply that after investors experienced the October crash, they tend to give more weight to international factors in making investment decisions after the crash than before.     

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.     

Global financial crisis and rising connectedness in the international commodity markets

This paper documents a dramatic change in the nature of connectedness in global commodity prices following the 2008 global financial crisis. We show that co-dependence in price-changes among seven major commodity classes goes from a pre-crisis average of 14.82% to a strikingly larger average of 47.87% in the period following the crisis, and which has endured until now. Dynamic swings in price co-movements of such a scale present a clear concern for financial investors and are of immediate interest to a wider policy-maker audience. Of particular interest is the empirical behavior of the food commodity price index, whose contribution to the system dynamics rises from less than 20% in the period up to 2008, to more than 80% after. To dispel any concern that these finding may be method-specific, we demonstrate their invariance to modeling procedure by providing analogous-results using a pairwise Granger causality analysis, as well as different sub-sampling choices.