The optimal capital structure of the firm with stable Lévy assets returns

This article builds a new structural default model under the assumption that a firm’s assets return follows a dynamics displaying jumps of both signs. In essence, we expand the work of Hilberink and Rogers (itself an extension of the Leland and Toft framework), which deals only with negative jumps. In contrast, we make use of stable Lévy processes, and we compute the values of the firm, debt and equity under this assumption. Theoretical credit spreads can also be obtained in our framework. They prove to be consistent with the empirical credit spreads observed in financial markets.      

The dynamics of Central European equity market comovements

This paper examines short-term and long-term comovements between developed European Union (EU) stock markets and those of three Central European (CE) countries which recently joined the EU. Dynamic cointegration and principal components methods are applied, in addition to static tests. While we find no evidence of cointegration for the period July 1995–February 2005 as a whole, dynamic tests reveal alternating period of cointegration disrupted by episodes dominated by short-term domestic factors. Principal components analysis reveals that a stable factor explains a large proportion of return variances. Ultimately, despite the decade-long process of alignment by CE countries with the EU, evidence of steadily increasing convergence of equity markets is lacking.     

Impact of investor’s varying risk aversion on the dynamics of asset price fluctuations

While investors’ responses to price changes and their price forecast have been identified as one of the major factors contributing to large price fluctuations in financial markets, our study shows that investors’ heterogeneous and dynamic risk aversion (DRA) preferences may play a more critical role in understanding the dynamics of asset price fluctuations. We allow an agent specific and time-dependent risk aversion index in a popular power utility function with constant relative risk aversion to construct our DRA model in which we made two key contributions. We developed an approximated closed-form price setting equation, providing a necessary framework for exploring the impact of various agents’ behaviors on the price dynamics. The dynamics of each agent’s risk aversion index is modeled by a bounded random walk with a constant variance, and such dynamics is incorporated in the price formula to form our DRA model. We show numerically that our model reproduces most of the “stylized” facts observed in the real data, suggesting that dynamic risk aversion is an important mechanism for understanding the dynamics of the financial market and the resultant financial time series.     

COLLATERAL AND CREDIT RATIONING: A REVIEW OF RECENT EMPIRICAL STUDIES AS A GUIDE FOR FUTURE RESEARCH

Abstract.  The relationship between firms and banks often suffers from informational opacity that may result in credit rationing. In theory, providing collateral to the bank can have a mitigating effect on these informational asymmetries and thus solve the credit-rationing problem. Even though collateral is already a widespread debt contract feature, recent trends predict that, in the future, collateral will become even more important for informationally opaque firms. The aim of this paper is twofold. First, we provide a review of the recently growing empirical research on collateral as a remedy for credit rationing. Second, we would like to pinpoint gaps and limitations in current empirical research. Most studies contend with a flawed research design by not distinguishing between business and personal collateral and excluding other information opaqueness reducing tools such as the strength of the relationship between borrower and lender, loan maturity and covenants. We also discuss the limitations of using a single equation estimation method and the usefulness of incorporating interaction effects into the estimation models. Finally, we provide suggestions for fruitful research avenues that would fill these gaps and enrich the empirical knowledge in this research domain.     

金融危机以来国内金融市场风险传导机制研究——基于偏t-APARCH模型的实证分析

基于金融市场波动有偏、尖峰、厚尾的特征,利用有偏t分布APARCH模型和Granger因果关系检验,对我国债券市场、股票市场、外汇市场和货币市场之间的风险传导问题进行考察。研究结果显示:在上涨和下跌阶段,各金融市场的风险传导能力具有个体差异;债券市场、股票市场和货币市场在上涨和下跌阶段具有非常强烈的风险传导能力;外汇市场在上涨阶段对其他市场不具有显著的风险传导能力,而在下跌阶段,对所有市场均具有风险传导能力;从整体上看,我国金融市场在下跌阶段的风险传导能力要强于上涨阶段的风险传导能力。     

金融创新产品风险的适应性监管机制探索——以MBS、CDO、CDS为例

金融创新产品风险的监管不到位是2007年美国次贷危机及2008年全球金融危机爆发的主要原因之一。在对MBS、CDO与CDS等创新产品风险及监管进行分析基础上创建的金融创新产品风险适应性监管机制框架包括风险的识别、风险的层级报告、风险的预警、风险的监管介入、风险的处理和金融危机与经济危机的预防六个部分。     

Modeling common volatility characteristics and dynamic risk premia in European equity markets

The paper applies a Factor-GARCH model to evaluate the impact of the market portfolio, as a single common dynamic risk factor, on conditional volatility and risk premia for the returns on size-based equity portfolios of three major European markets; France, Germany and the United Kingdom. The results show that for the size-based portfolios the factor loading for the dynamic market factor is significant and positive but the association between the risk premia and the conditional market volatility is weak. However, the dynamic market factor is shown to explain common characteristics in the conditional variance such as asymmetry and persistence. This finding is consistent across markets and portfolio sizes.     

Financial Markets, Development and Economic Growth: Tales of Informational Asymmetries

Abstract.  The development of financial systems is very often characterised by the development of innovative financial contracts which allow a more efficient allocation of resources and a higher level of capital productivity and economic growth. By exploiting the microeconomic theory of the optimal financial contract under asymmetric information, economists have recently managed to shed new light on the well studied issue of the relationship between financial market development and economic growth. This paper reviews the most recent progress of this literature which shows that the amount of information asymmetry in the credit market and the degree of heterogeneity between borrowers (typically firms) and lenders (typically workers or savers) determine the nature of the financial system. Differences in endowments and in the level of information distribution can give rise to very different financial contracts which affect, and in turn are affected, by capital accumulation and growth.     

CREDIT DEFAULT SWAPS: HAS THE GFC INFLUENCED PERCEPTIONS OF THEIR UTILITY FOR BANKS?

Credit Default Swaps (CDSs) are considered as one of the most versatile financial innovations of the 21^st century. Since its inception, the credit derivatives market has grown to a peak of $64 trillion in 2008 in terms of gross notional values (Cont, 2010 ). However, after the onset of the GFC, this market has decreased to a large extent. While there is evidence that promotes the risk reduction properties of CDSs, there is a growing body of research post GFC that identifies destabilising effects of these instruments. In this paper, I review the relevant scholarly literature and provide evidence of how the views on CDSs have changed post GFC due a deeper investigation of issues such as systemic risk, regulatory arbitrage, information asymmetry and risk‐taking, among others, in the banking industry. This paper provides a survey of the literature of views ‘for’ and ‘against’ the use of CDSs during pre and post GFC periods and finally concludes that in comparison to the pre GFC period, post GFC there is a significant increase in the literature that highlights the detrimental nature of CDSs.     

Correlation dynamics and international diversification benefits

Forecasting the evolution of security co-movements is critical for asset pricing and portfolio allocation. Hence, we investigate patterns and trends in correlations over time using weekly returns for developed markets (DMs) and emerging markets (EMs) over the period 1973–2012. We show that it is possible to model co-movements for many countries simultaneously using BEKK, DCC, and DECO models. Empirically, we find that correlations have trended upward significantly for both DMs and EMs. Based on a time-varying measure of diversification benefits, we find that it is not possible to circumvent the increasing correlations in a long-only portfolio by adjusting the portfolio weights over time. However, we do find some evidence that adding EMs to a DM-only portfolio increases diversification benefits.     

Similarity of emerging market returns under changing market conditions: Markets in the ASEAN-4, Latin America,Middle East,and BRICs

We studied the risk-return distances of 18 emerging stock markets in the period from January 2000 to December 2013. Distances are linked to volatility and time-varying correlations estimated in standard and asymmetric DCC models. Our results revealed a positive relationship between risk-return distances and volatility, which means that during more volatile periods, the risk-return characteristics in emerging markets exhibit lower similarity to the characteristics found in developed markets. This result seems to be in sharp contrast to most empirical studies using correlations. Within the portfolio framework, our results suggest that diversification into emerging stock markets may still provide desirable benefits to international investors.