A Rational Expectations Model of Financial Contagion

We develop a multiple asset rational expectations model of asset prices to explain financial market contagion. Although the model allows contagion through several channels, our focus is on contagion through cross-market rebalancing. Through this channel, investors transmit idiosyncratic shocks from one market to others by adjusting their portfolios' exposures to shared macroeconomic risks. The pattern and severity of financial contagion depends on markets' sensitivities to shared macroeconomic risk factors, and on the amount of information asymmetry in each market. The model can generate contagion in the absence of news, as well as between markets that do not directly share macroeconomic risks.     

我国广义货币供应量M2的回归模型与预测

货币供应量是货币政策工具重要的中介变量。该文通过分解我国货币供应量的诸多宏观影响因素,尝试建立一个较为完整的货币供应量多变量回归模型,揭示宏观经济变量对货币供应量的影响程度,并运用该模型对货币供应量的短期变化进行预测,以期为把握宏观经济形势、理解货币政策变化及预判金融市场走势提供参考依据。检验结果表明,该模型对货币供应量的预测比较符合实际情况。     

An inquiry into the economic fundamentals of the Fama and French equity factors

This study investigates the economic underpinnings of the Fama and French three-factor (FF3) model. We evaluate the impact of surprises in 23 different types of macroeconomic announcements on stock returns in the framework of the CAPM and the FF3 model. The relative merit of the FF3 model is demonstrated whenever macroeconomic surprises have a smaller impact on the returns within an FF3 model versus their impact within the CAPM. In general, there is strong evidence to suggest that the FF3 model outperforms the CAPM. The relative merit of the FF3 model is highlighted by its ability to capture information related to Personal Consumption, Retail Sales, CPI, PPI, Factory Orders, Leading Indicators, Construction Spending, Housing Starts, and New Home Sales. An attribution analysis of the relative performance of SMB and HML equity factors indicate that both factors, in isolation, equally account for macroeconomic surprises. Lastly, there is evidence that the FF3 model can be marginally improved by incorporating credit variables.     

Macroeconomic uncertainty and corporate liquidity: the Indian case

Interest in the uncertainties prevailing at the macroeconomic level has always been well known in economic literature. This article analyses the effect of firm level and macroeconomic uncertainty on the decisions of Indian firms with regard to their optimal cash holdings. Using a dynamic panel data model, the study finds strong support for the hypothesis that Indian firms increase their cash holdings with an increase in either form of uncertainty. Also, results for the sub-samples show that middle-aged and middle-sized firms are most affected by variations in macroeconomic uncertainty.     

A macroeconomic hedge portfolio and the cross section of stock returns

We use a stock's returns on days when important macroeconomic news is released to form a hedge portfolio, which is long (short) in stocks which have a sensitive (insensitive) reaction to the surprise component of the macroeconomic news. This macroeconomic hedge portfolio (MHP) earns a risk premium of about 5% p.a. over time and a similar premium when used as a risk factor in an asset pricing model. This premium can be interpreted as a cost of an insurance against unexpected changes in an investor's marginal utility. We show that risk premiums associated with the MHP are estimated with a higher precision than traditional macroeconomic tracking portfolios. Furthermore, when the MHP is present in a common factor model, risk factors like high minus low lose much of their ability to explain the cross section of stock returns.     

Nominal Interest Rates and the News

This paper provides new estimates of the impact of monetary policy actions and macroeconomic news on the term structure of nominal interest rates. The key novelty is to parsimoniously capture the impact of news on all interest rates using a simple no‐arbitrage model. The different types of news are analyzed in a common framework by recognizing their heterogeneity, which allows for a systematic comparison of their effects. This approach leads to novel empirical findings. First, monetary policy causes a substantial amount of volatility in both short‐term and long‐term interest rates. Second, macroeconomic data surprises have small and mostly insignificant effects on the long end of the term structure. Third, the term‐structure response to macroeconomic news is consistent with considerable interest‐rate smoothing by the Federal Reserve. Fourth, monetary policy surprises are multidimensional while macroeconomic surprises are one‐dimensional.     

Macroeconomic fundamentals,jump dynamics and expected volatility

In this paper, we develop a new volatility model capturing the effects of macroeconomic variables and jump dynamics on the stock volatility. The proposed GARCH-Jump-MIDAS model is applied to the S&P 500 index. Our in-sample results indicate that macroeconomic activities have important impacts on aggregate market volatility. Out-of-sample evidence suggests that our model with macroeconomic variables significantly outperform a wide range of competitors including the original GARCH(1,1), GARCH-MIDAS and GJR-A-MIDAS models. The volatility timing results also show that the information from jumps and macroeconomic activity is helpful for improving the portfolio performance.     

Arbitrage opportunities on the road to stabilization and reform

During the second half of 1993, when far-reaching structural reforms had left Mexican authorities bereft of policy instruments and macroeconomic stabilization had limited their policy options, two private Mexican banks were issuing short-term Euro-dollar debt at a cost substantially below the yield on dollar-linked government securities of similar maturity. A detailed analysis of the authorities’ policy dilemmas, together with a theoretical model that formalizes them, suggests that this negative spread represented arbitrage opportunities for the two banks. It further indicates that similar opportunities may arise again as more countries embark on programs of stabilization and reform.     

货币政策能够兼顾“稳增长”与“稳杠杆”双重目标吗？——基于不同杠杆环境的比较

在经济发展新阶段,货币政策如何更好地兼顾“稳增长”与“稳杠杆”双重目标是需要研究的重要问题。为此,本文构建了一个含有高杠杆特征的动态一般均衡模型进行理论分析,并在此基础上利用状态依存的局部投影方法进行实证检验。研究发现,正常时期与高杠杆时期货币政策效果显著不同。正常时期,面对经济下行压力,宽松货币政策冲击能够较好地促进经济扩张并保证宏观杠杆率稳定,从而兼顾“稳增长”与“稳杠杆”。在高杠杆时期,宽松货币政策的“稳增长”效果显著弱于正常时期,而且还会推高宏观杠杆率,从而也难以实现“稳杠杆”目标。原因在于,高杠杆下更多的负债主体因偿债压力陷入“借新还旧”状态中,阻塞了货币政策的有效传导,降低了政策调控效率。     

市场预期在我国货币政策传导机制中的作用研究——基于结构因子向量自回归模型

货币政策传导机制是近年的热点问题之一,它关系到我国货币政策的实施效果。市场预期是否会影响货币政策传导效果?本文构建我国结构因子向量自回归模型(Structural Factor-Augmented VAR,SFAVAR),尝试探讨情绪因子对我国货币政策传导效果的影响,模型包含133个国内外宏观经济变量,样本期间为2001年1月至2010年12月。实证结果显示,市场预期对我国货币政策传导效果具有一定影响。在考虑情绪因子的情况下,紧缩性货币政策对通货膨胀因子及货币因子具有抑制效果,而人民币实际汇率受利率上升冲击呈升值趋势。此外,当模型加入情绪因子时,短期内央行紧缩性货币政策对金融市场因子所造成的冲击大于忽略情绪因子的结果,显示货币政策传导效果中市场预期因素所扮演的角色值得关注。     

Default prediction with dynamic sectoral and macroeconomic frailties

This paper extends the macroeconomic frailty model to include sectoral frailty factors that capture default correlations among firms in a similar business. We estimate sectoral and macroeconomic frailty factors and their effects on default intensity using the data for Japanese firms from 1992 to 2010. We find strong evidence for the presence of sectoral frailty factors even after accounting for the effects of observable covariates and macroeconomic frailty on default intensity. The model with sectoral frailties performs better than that without. Results show that accounting for the sources of unobserved sectoral default risk covariations improves the accuracy of default probability estimation.     

Macroeconomic fundamentals and the exchange rate dynamics: A no-arbitrage macro-finance approach

In this paper, we propose an arbitrage-free international macro-finance model that links the exchange rate dynamics to macroeconomic fundamentals. Jointly using data on exchange rates, yields of zero-coupon bonds, and macroeconomic variables of the US and the Euro area, we find a close link between macroeconomic fundamentals and the exchange rate dynamics. The model-implied monthly exchange rate changes can explain about 57% variation of the observed data. The macroeconomic innovations can help capture large variation of exchange rate changes. Robustness checks show that the results also hold for other major exchange rates.     

The heterogeneous impact of macroeconomic information on firms' earnings forecasts

This paper re-examines the role of macroeconomic information in forecasting firm earnings. We adopt a Fama–MacBeth regression model with the important extension of including information from over 140 macroeconomic variables that enter into the model in a reduced dimension form as a consequence of common factor analysis. The resulting factor-augmented model is then used to evaluate the importance of macroeconomic information on earnings forecasts for U.S. firms from 1962 to 2009. The same model is also examined for each individual time window and industry subsample. The results reveal a clear and heterogeneous impact of macroeconomic information on firm-specific earnings forecasts, and that these effects differ markedly during certain periods and across industries. In addition, when compared to analyst forecasts, we show that our model is generally more accurate over longer forecast horizons. The results of the identified heterogeneous impacts are used to define the conditions under which macroeconomic information becomes important for the firm.     

The Role of Ownership Concentration and Debt in Downturns: Evidence from Brazilian Firms During the 2008–9 Financial Crisis

This article aims to reconcile conflicting literature about the role of ownership concentration in the responsiveness of stock prices to macroeconomic shocks. We modified a previous theoretical model, adding leverage as a disciplining device. An important implication of our model is that only in deep crises ownership concentration plays a role in attenuating the effect of macroeconomic shock on firm value. We test this hypothesis using a sample of Brazilian firms during distinct phases of the 2008–9 crisis. Our empirical analyzes shows that only in the most critical part of the crisis, ownership concentration reduced the negative effects of the financial crisis.     

A Bayesian Approach to Understanding Time Series Data

This paper explores the use of Bayesian models to analyze time series data. The Bayesian approach produces output that can be readily understood by actuaries and included in their own experience studies. We illustrate this Bayesian approach by analyzing U.S. unemployment rates, a macroeconomic time series. Understanding time series of macroeconomic variables can help actuaries in pricing and reserving their products. For example, a change in the level and/or variance of the unemployment series is of interest to actuaries, because its movement can explain a changing pattern of lapse rates of incidence rates. Our Bayesian analysis, based on models developed by McCulloch and Tsay (1993, 1994), allows for shifts in the level and in the error variance of a process. We develop a measure of model fit, based on the Akaike Information Criterion, that can be used in choosing between alternative models. Posterior prediction intervals for the fitted values are also created to pictorially show the range of paths that could result from the choice of a particular model.     

The transmission of international shocks to the UK. Estimates based on a time-varying factor augmented VAR

The aim of this paper is to gauge the importance of foreign demand, supply and interest rate shocks on the UK economy and assess how their role has changed over time. To that end we devise a time-varying factor augmented VAR model that captures the relationship between 17 industrialised countries and the UK and accounts for any temporal evolution in this relationship. The response of UK macroeconomic variables to a foreign interest rate shock is estimated to have changed significantly since the early 1990s. International demand shocks play an important role in driving World and UK real activity, especially during the recent recession.     

Corporate credit risk modeling and the macroeconomy

Despite a surge in the research efforts put into modeling credit and default risk during the past decade, few studies have incorporated the impact that macroeconomic conditions have on business defaults. In this paper, we estimate a duration model to explain the survival time to default for borrowers in the business loan portfolio of a major Swedish bank over the period 1994–2000. The model takes both firm-specific characteristics, such as accounting ratios and payment behaviour, loan-related information, and the prevailing macroeconomic conditions into account. The output gap, the yield curve and consumers’ expectations of future economic development have significant explanatory power for the default risk of firms. We also compare our model with a frequently used model of firm default risk that conditions only on firm-specific information. The comparison shows that while the latter model can make a reasonably accurate ranking of firms’ according to default risk, our model, by taking macro conditions into account, is also able to account for the absolute level of risk.     

居民风险偏好与中国货币政策的宏观经济效应——基于DSGE模型的数量分析

当前,我国宏观经济形势复杂多变,货币政策实施效果的影响因素随之呈现多样化特征。在此背景下,本文试图以风险偏好为研究视角,对我国居民风险偏好水平变动与货币政策宏观经济效应之间的关系进行分析。本文以标准新凯恩斯模型为基础,构造符合我国宏观经济现实特征的DSGE(动态随机一般均衡)模型,并对转型时期的最优混合型货币政策规则进行研究;为进一步强调货币在中国宏观经济波动中所扮演的重要角色,模型中引入消费和实际货币余额不可分的跨期效用函数形式。研究结果表明:(1)包含名义货币增长的混合型泰勒规则拟合我国转型时期的货币政策规则效果最佳,因此货币供应量仍是重要的政策工具;(2)与可分性模型相比,不可分模型拟合我国宏观经济现实特征的效果更优。在不可分效用函数下,与货币供应量相关的实际货币余额将影响经济的产出缺口和通货膨胀,使得居民风险偏好成为决定货币政策效果的重要因素。具体而言,当居民风险偏好水平上升时,货币政策对我国宏观经济波动的影响随之增强。因此,在选择货币政策实施时点上,应充分考虑市场中的风险偏好情况,从而更好地发挥货币政策调控宏观经济的职能。     

居民风险偏好与中国货币政策的宏观经济效应——基于DSGE模型的数量分析

当前,我国宏观经济形势复杂多变,货币政策实施效果的影响因素随之呈现多样化特征。在此背景下,本文试图以风险偏好为研究视角,对我国居民风险偏好水平变动与货币政策宏观经济效应之间的关系进行分析。本文以标准新凯恩斯模型为基础,构造符合我国宏观经济现实特征的DSGE(动态随机一般均衡)模型,并对转型时期的最优混合型货币政策规则进行研究;为进一步强调货币在中国宏观经济波动中所扮演的重要角色,模型中引入消费和实际货币余额不可分的跨期效用函数形式。研究结果表明:(1)包含名义货币增长的混合型泰勒规则拟合我国转型时期的货币政策规则效果最佳,因此货币供应量仍是重要的政策工具;(2)与可分性模型相比,不可分模型拟合我国宏观经济现实特征的效果更优。在不可分效用函数下,与货币供应量相关的实际货币余额将影响经济的产出缺口和通货膨胀,使得居民风险偏好成为决定货币政策效果的重要因素。具体而言,当居民风险偏好水平上升时,货币政策对我国宏观经济波动的影响随之增强。因此,在选择货币政策实施时点上,应充分考虑市场中的风险偏好情况,从而更好地发挥货币政策调控宏观经济的职能。     

Explaining bank distress in Eastern European transition economies

This paper considers the joint role of macroeconomic, structural and bank-specific factors in explaining the occurrence of banking problems in the nineteen Eastern European transition countries over the last decade. With data at the individual bank level we show, using a discrete time survival model, that all three factors interact in their impact and have a rich dynamic profile, which underlines the highly volatile cycles challenging the stability of banks in this region. A fragile funding basis accompanied by high exposure to market risk in an environment of reforms and macroeconomic disturbances is the typical precursor of bank distress.