人民币实际汇率与宏观经济变量之间关系的实证分析

本文在对人民币汇率与宏观经济变量之间关系的理论分析基础上，利用协整检验方法考察了1992年1季度～2003年1季度人民币实际汇率与宏观经济变量之间的关系。实证分析结果表明，模型的所有估计系数的符号与建模时设定的符号相一致，并且人民币实际有效汇率与所考察的各宏观经济变量之间存在着惟一的长期均衡关系。这种长期均衡关系的存在能从一个侧面反映出在考察期间内人民币汇率的调整和变化是适应中国宏观经济内外平衡需要的。     

宏观经济波动对股票市场的影响分析——基于协整分析与误差修正模型

在有效市场前提下,宏观经济波动对股票市场的冲击会反映在股票价格的变化上,为了研究两者的具体关系,选取2000~2016年上证综合指数与宏观经济相关变量的时间序列数据,运用单位根检验、协整检验以及构造协整方程、误差修正模型的方法对宏观经济波动对股票市场的冲击进行实证分析,结果表明,股票市场反映宏观经济波动的预期并不一致,宏观经济波动与股票市场波动出现了明显的背离,而且短期各个宏观经济变量对股票市场波动的影响大小和显著程度与长期的并不一致,研究结果表明在短期宏观经济变量对股票市场波动的冲击较大。     

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。     

我国股市波动和宏观经济波动相关性实证研究

本文根据国内外有关股市波动和宏观经济波动性之间关系的理论,结合我国实际情况,选取了有代表性的宏观经济指标,对相关宏观指标及上证综指的月度数据进行格兰杰因果检验,实证结果显示,总体而言,我国股市波动性对我国宏观经济变量的解释能力较好,但宏观经济变量对我国股市波动性解释能力较弱,在此基础上,本文提出了一些切实可行的政策建议。     

基于隐马尔可夫模型对宏观经济进行监测

本文利用隐马尔可失模型，分别在一组宏观经济变量和金融变量基础上模拟出宏观经济实际运行状况，结果表明利用金融市场替代先行指标对宏观经济运行状态进行监测是可行的。在金融市场出现衰退后3至4个月，宏观经济增长速度出现下降。同时，在宏观经济回暖之前，金融市场也会率先恢复。     

格兰杰因果检验在我国信贷周期研究中的应用

本文利用格兰杰检验因果检验,研究了我国信贷周期问题,分析了1998—2010年我国信贷周期与宏观经济变量、货币政策之间的相互关系。从而提出相关政策建议和风险防范措施。     

国债收益率曲线的宏观预测能力检验——基于Probit模型

本文对我国国债收益率曲线的宏观经济变量预测能力进行实证检验。首先,通过Nelson-Siegel模型测算我国国债收益率曲线的水平因子、斜率因子及曲率因子;其次,利用Probit模型检验收益率曲线的三个因子对我国宏观经济周期波动及通货膨胀率的预测能力。研究结果表明,国债收益率曲线的三个因子对未来宏观经济周期有较好的预测作用,但对未来通货膨胀率无法进行有效预测。     

中国宏观经济:2005年形势与2006年预测

宏观经济分析的基本依据 宏观经济运行的状况和走势,会通过一些重要的宏观经济变量反映出来.同时,宏观经济运行的状况和走势,也决定于一些重要宏观经济变量的变动和政府的宏观政策倾向.因此,分析宏观经济形势,判断宏观经济走势,必须正确理解和把握宏观经济变量的变动和政府的宏观政策倾向.宏观经济变量的变动情况和政府的宏观政策倾向是进行宏观经济分析的基本依据.     

保险增长与经济增长的互动关系:理论假说与实证研究

利用向量自回归模型(VAR)和误差修正模型(ECM)对我国GDP和保费收入两个宏观经济变量之间的关系进行研究,结果表明:GDP和保费收入之间有明显的协整关系,但在两个样本期间内两个宏观经济变量之间的Granger因果关系却出现了差异:以名义值检验的结果表明,经济增长是保费收入增长的Granger原因,但反之则不成立:而以实际值进行检验的结果表明,经济增长和保费收入增长之间不存在Granger因果关系。     

货币政策的信贷渠道:基于“金融加速器模型”的中国经济周期分析

本文在一个带有金融加速器的DSGE模型中讨论了我国宏观经济波动背后的信贷因素,并检验了金融加速器模型对我国宏观经济波动的解释能力。在此基础上,本文进而分析了货币政策通过信贷因素对我国宏观经济的影响。本文分析的结果表明,受信贷市场中不对称信息的影响,宏观经济变量都表现出较大的波动性,模型模拟出的产出、实际利率和投资等主要变量的相对标准差都与实际经济数据相似;同时,脉冲响应分析的结论显示,相对产出等其他变量,货币政策对于价格水平和通货膨胀有着更好的控制力。从这个意义上说,本文的研究也为我国货币政策的目标明确了方向。     

‘Déjà vol’: Predictive regressions for aggregate stock market volatility using macroeconomic variables

Aggregate stock return volatility is both persistent and countercyclical. This paper tests whether it is possible to improve volatility forecasts at monthly and quarterly horizons by conditioning on additional macroeconomic variables. I find that several variables related to macroeconomic uncertainty, time-varying expected stock returns, and credit conditions Granger cause volatility. It is more difficult to find evidence that forecasts exploiting macroeconomic variables outperform a univariate benchmark out-of-sample. The most successful approaches involve simple combinations of individual forecasts. Predictive power associated with macroeconomic variables appears to concentrate around the onset of recessions.     

DYNAMIC RELATIONS BETWEEN MACROECONOMIC VARIABLES AND THE JAPANESE STOCK MARKET: AN APPLICATION OF A VECTOR ERROR CORRECTION MODEL

By employing the vector error correction model (VECM) in a system of seven equations, we find that the Japanese stock market is cointegrated with a group of six macroeconomic variables. The signs of the long-term elasticity coefficients of the macroeconomic variables on stock prices generally support the hypothesized equilibrium relations. Our findings are robust to different combinations of macroeconomic variables in six-dimension systems and two subperiods. Also, the VECM consistently outperforms the vector autoregressive model in forecasting ability.     

企业信用风险与宏观经济变量的相关性研究

本文利用Logit模型和多元回归模型,分析了宏观经济变量对企业总体和个体信用风险的影响,认为相对于个体信用风险而言,宏观经济变量对总体信用风险的影响更加显著。     

Modeling default probabilities: The case of Brazil

Using disaggregated data from the Brazilian stock market, we calculate default probabilities for 30 different economic sectors. Empirical results suggest that domestic macroeconomic factors can explain these default probabilities. In addition, we construct the Minimum Spanning Tree (MST) and the ultrametric hierarchical tree with the MST based on default probabilities to disclose common trends, which reveals that some sectors form clusters. The results of this paper imply that macroeconomic variables have distinct effects on default probabilities, which is important to take into account in credit risk modeling and the generation of stress test scenarios.     

Macroeconomic influences on optimal asset allocation

We develop a tactical asset allocation strategy that incorporates the effects of macroeconomic variables. The joint distribution of financial asset returns and the macroeconomic variables is modelled using a VAR with a multivariate GARCH (M-GARCH) error structure. As a result, the portfolio frontier is time varying and subject to contagion from the macroeconomic variable. Optimal asset allocation requires that this be taken into account. We illustrate how to do this using three risky UK assets and inflation as a macroeconomic factor. Taking account of inflation generates portfolio frontiers that lie closer to the origin and offers investors superior risk-return combinations.     

When to go abroad: economic policy uncertainty and Chinese firms’ overseas investment

We study how economic policy uncertainty (EPU) influences firms’ overseas investments for Chinese listed companies. We find a significant negative relationship between EPU and firms’ overseas investments after controlling for firm characteristics and macroeconomic variables. Chinese firms seem to reduce their overseas investments on fixed income securities when facing domestic policy uncertainty. The negative relationship is pronounced for financially constrained firms, firms relying on government subsidies and with low overseas revenues, and SOEs. Firms operating in high marketisation regions can mitigate the negative effect of EPU on firms’ overseas investments. Our results remain significant when considering endogeneity problems.     

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.     

Do Property‐Casualty Insurance Underwriting Margins Have Unit Roots?

A growing literature analyzes determinants of insurance prices using time series data on insurer underwriting margins. If the variables analyzed are stationary, conventional regression models may be appropriately used to test hypotheses. Based on pretests for a unit root, several studies have instead used co‐integration analysis to analyze the long‐run relationship between purportedly nonstationary underwriting margins and macroeconomic variables. We apply a battery of unit root tests to investigate whether underwriting margins are stationary under different assumptions concerning deterministic components in the data generating process (DGP). When linear and/or quadratic trends are included in the assumed DGPs, the tests reject the null hypothesis of a unit root for loss ratios, expense ratios, combined ratios, and economic loss ratios from 1953 through 1998 for many of the individual lines examined and for all lines combined. Consistent with prior work on whether macroeconomic variables have unit roots, a simulation of test power for underwriting margins during the sample period demonstrates that nonrejections of the null hypothesis of a unit root could easily reflect low power. The overall findings suggest that conventional regression methods can be used appropriately to analyze underwriting margins after controlling for deterministic influences and transforming any nonstationary regressors.     

境外汇款是热钱吗?——基于中国的实证分析

本文通过构建境外汇款与中国宏观经济变量之间的协整方程,实证分析境外汇款流入的影响因素。研究表明,境外汇款流动是顺经济周期的,人民币升值压力是影响境外汇款流入的重要因素。由于我国利率没有完全市场化,利差对境外汇款影响较小。顺经济周期性一方面对境外汇款的利他性提出了质疑,同时也表明境外汇款流入具有很强的投机性。