基于CFaR模型与Logistic回归的财务困境预警研究

从现金流风险角度出发,对企业财务困境进行预警研究：首先构建一个基于企业内部环境、宏观经济政策、货币政策及财政政策等因素的CFaR模型,识别出期望现金流及风险现金流;然后以这两个指标作为预警变量,构建一个二元Logistic财务困境预警模型;最后选取27家中国证券市场中代表陷入财务困境的ST公司及配对的财务良好的非ST公司作为样本进行实证研究。结果表明,所构建的CFaR模型能较好地度量两类上市公司的现金流状况,且两类公司的期望现金流和风险现金流水平存在显著的差异;二元Logistic预警模型能较好地实现对上市公司财务风险的预警,对两类公司的预警正确率分别达到85.2%和81.5%。     

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.     

金融周期对房地产价格的影响——基于SV-TVP-VAR模型的实证研究

本文利用2004-2016年的季度数据构建金融周期综合指数,用以描述金融市场景气程度;使用SV-TVP-VAR模型,围绕金融周期对我国房地产价格的影响进行实证研究。结果表明,金融周期对房地产价格的影响具有明显的时变性特征:2008年以前金融市场繁荣对房价有稳定推升作用,2008年后该影响持续弱化;与之类似,实体经济对房价的影响同样自2008年起逐渐减小。这意味着,在经济增长方式转变和经济结构调整的过程中,我国房地产价格对经济金融冲击的敏感度已经大幅下降,金融扩张可能难以再通过房地产市场有效带动实体经济的繁荣,相反,其反而可能导致银行贷款不良率的攀升,在金融系统内积累系统性风险。我国针对房地产的宏观调控政策不仅对控制贷款不良率的提高体现出积极作用,而且自2008年国际金融危机以来,产出及房价的随机波动率均呈显著下降趋势,风险得到有效控制。未来应更加重视房地产市场调控在宏观审慎政策框架中的重要地位,遏制房地产金融化泡沫化势头,防范房地产市场引发金融危机。     

Does risk aversion drive financial crises? Testing the predictive power of empirical indicators

There are several types of risk aversion indicators used by financial institutions. These indicators, which are estimated in diverse ways, often show differing developments, although it is not possible to directly assess which is the most appropriate. Here, we consider the most well-known of these indicators and construct others with standard methods. As financial crises generally coincide with periods in which risk aversion increases, we try to check if these indicators rise just before the crises and also if they are able to forecast crises. We estimate logit and multilogit models of financial crises – exchange rate and stock market crises – using control variables and each of the risk aversion indicators. In-sample simulations allow us to assess their respective predictive powers. Risk aversion indicators are found to be good leading indicators of stock market crises, but less so for currency crises.     

行业专长与审计质量——基于投资者和财务报告视角的经验研究

本文从投资者和财务报告视角实证检验了行业专长和审计质量之间的关系。我们利用我国2001～2006年约6000家上市公司样本数据,构造了盈余反应系数模型和操控性应计模型,主要采用多元回归方法进行了统计分析。结果显示:在控制了相关变量的影响后,行业专长事务所审计客户的财务报告质量高于非行业专长事务所审计客户的财务报告质量。这表明行业专长促进了审计质量的提高。     

我国金融机构尾部风险影响因素的非线性研究——来自面板平滑转换回归模型的新证据

“十三五”期间,我国防范化解金融风险攻坚战取得决定性成就,而在“十四五”规划开局之际,我国的金融风险形势面临新的挑战,防范风险仍是金融业的永恒主题。在此背景下,本文采用相对重要性分析技术方法,考察机构规模以及相关基本面因素对我国上市金融机构尾部风险的贡献程度。接着,本文结合边际效应分析技术考察机构规模对风险的异质性效应,深入分析“太大而不能倒”假说在中国的适用性。在此基础上,进一步运用前沿的面板平滑转换估计模型,研究机构规模与尾部风险的非线性关系,并分析基本面因素对该异质性效应的影响力度。研究结果表明,我国上市银行等金融机构规模的增加能够有效缓释我国金融系统的尾部风险,但该影响效应将随着特许权价值、资产质量、杠杆水平、成本水平、收入结构、贷款结构等基本面指标的变化而出现显著的非线性转变。在此基础上,对强化我国金融系统中的风险防控薄弱环节、提高金融机构的风险吸收能力提出建议,以期为我国深化金融业改革开放、推动高质量发展提供理论分析与实证检验的参考依据。     

The Determinants of Enterprise Risk Management: Evidence From the Appointment of Chief Risk Officers

Enterprise risk management (ERM) has captured the attention of risk management professionals and academics worldwide. Unlike the traditional "silo-based" approach to corporate risk management, ERM enables firms to benefit from an integrated approach to managing risk that shifts the focus of the risk management function from primarily defensive to increasingly offensive and strategic. Despite the heightened interest in ERM, little empirical research has been conducted on the topic. This study provides an initial attempt at identifying the determinants of ERM adoption. We construct a sample of firms that have signaled their use of ERM by appointing a Chief Risk Officer (CRO) who is charged with the responsibility of implementing and managing the ERM program. We use a logistic regression framework to compare these firms to a size- and industry-matched control sample. While our results suggest a general absence of differences in the financial and ownership characteristics of sample and control firms, we find that firms with greater financial leverage are more likely to appoint a CRO. This finding is consistent with the hypothesis that firms appoint CROs to reduce information asymmetry regarding the firm's current and expected risk profile.     

A financial stability index for Colombia

The imbalances of the financial systems have showed the vast economic and social costs generated by financial instability. As a consequence, the development of stress indexes has spread as an alternative to assess the soundness of financial systems. The aim of this paper is to construct a continuous and quantifiable index with the capacity of establishing the stress level of the Colombian financial system as a function of profitability, liquidity and probability of default. Results show that the index determines effectively the stress level of the system. In addition, we performed forecasts of the financial stability index using macroeconomics variables.     

Cross-country linkages as determinants of procyclicality of loan loss provisions

Procyclicality in banking may result in financial instability and therefore be destructive to economic growth. The sensitivity of different banking balance sheet and income statement variables to the business cycle is diversified and may be prone to increasing integration of financial markets. In this paper, we address the problem of the influence of financial integration on the transmission of economic shocks from one country to another and consequently on the sensitivity of loan loss provisions (LLPs) to the business cycle. The application of the seemingly unrelated regression equations (SURE) approach to 13 OECD countries in 1995–2009 shows that the procyclicality of LLPs is statistically significant almost in the whole sample of countries. Regardless of the econometric specification, the income-smoothing, capital management and risk management hypotheses are hardly supported by the data. However, in SURE specification, the relationship of bank-specific variables is of higher statistical significance than in the country regression approach. Hence, cross-country interconnectedness is not only economically, but also empirically important when analyzing cross-country diversifications of LLPs.     

Global Liquidity and Financial Stress: Evidence from Major Emerging Economies

We examine the relationship between financial stress and global liquidity for the so-called fragile five emerging economies (Brazil, India, Indonesia, South Africa, and Turkey). By using an extensive set of variables that take into account the structural characteristics of these economies, we construct a financial stress index. We then use a Markov regime switching model to identify the high financial stress episodes. We examine periods of heightened financial stress and its relationship to high incidence of domestic and global disturbances. Finally, we construct a global financial liquidity index and assess the relationship between financial stress and global liquidity. Using a bivariate Markov regime switching VAR model, we find a regime-dependent relation between global liquidity and financial stress. Moreover, global liquidity shocks seem to strain these emerging economies in such a way that global illiquidity heightens financial stress.     

Financial advisor participation rates and low net worth investors

This study presents a simple analytical framework to identify the key determinants underlying the incentives for households to engage financial advisors. Using the US 2007 Survey of Consumer Finances, we employ a logistic regression approach to understand the characteristics of households who engage financial advisors for investment or comprehensive financial advice. We find that age, education, employment category, income and net worth are highly significant variables related to the propensity to engage a financial advisor. The results also indicate significantly reduced active engagement between advisors and low net worth investors than claimed by the low net worth investors in the survey. We construct a model to derive the expected fee profile of financial advisors as a function of wealth and compare the fee structure against a financial advisor client portfolio. We find that a combination of lower aggregate costs per investor and higher expected fee income motivates advisors to target higher net worth investors. Advisors therefore prefer higher net worth investors due to the lower aggregate costs of engagement, which drives low investment participation rates by less wealthy households.     

A Structured Financial Statement Analysis and the Direct Prediction of Stock Prices in Korea

Using a large sample of firms listed on the Korea Stock Exchange, this paper evaluates the usefulness of a structured, programmable financial statement analysis for investment decisions. In doing so, we develop a firm valuation model which links a firm's market value with fundamental variables such as the ability of a firm to generate cash flows, growth potentials, and risk. We predict a firm's intrinsic value directly from an extensive set of financial statement variables which proxy for the theoretical variables implied by the model. We then construct a series of trading strategies with zero net investment (called D-strategies) on the basis of D-values which measure percentage differences between predicted intrinsic values and observed market values. We observe that the market-adjusted and size-adjusted (hedge-portfolio) returns to the most conservative D-strategy turn out to be in the order of 16.92% and 11.44%, respectively,for the 12-month holding period. When our sample is stratified into two sub-samples based on firm size, the D-strategy yields higher excess return for the small-firm sub-sample than for the large-firm sub-sample. The above evidence, taken as a whole, strongly indicates that one can construct a profitable trading strategy by directly predicting intrinsic values through a structured financial statement analysis such as ours.     

Consumer credit-risk models via machine-learning algorithms

We apply machine-learning techniques to construct nonlinear nonparametric forecasting models of consumer credit risk. By combining customer transactions and credit bureau data from January 2005 to April 2009 for a sample of a major commercial bank’s customers, we are able to construct out-of-sample forecasts that significantly improve the classification rates of credit-card-holder delinquencies and defaults, with linear regression R²’s of forecasted/realized delinquencies of 85%. Using conservative assumptions for the costs and benefits of cutting credit lines based on machine-learning forecasts, we estimate the cost savings to range from 6% to 25% of total losses. Moreover, the time-series patterns of estimated delinquency rates from this model over the course of the recent financial crisis suggest that aggregated consumer credit-risk analytics may have important applications in forecasting systemic risk.     

我国公司财务弹性与公司价值的研究——来自食品类上市公司的经验数据

本文在已有的研究的基础上,通过理论分析构建财务弹性指数构建的可能性,并对食品类上市公司构建了一个多维的财务弹性指标体系,通过对上述方法得出的财务弹性指数与公司价值进行多元回归分析,进一步探究财务弹性与公司价值之间的关系.研究表明,食品类上市公司财务弹性指数整体偏低,通过对财务弹性指数进行多元回归发现,财务弹性指数与公司价值呈正相关,保持有效的财务弹性水平有利于公司价值的提升.     

A Market-based Risk Classification of Financial Institutions

In this article we derive, estimate, and analyze a multifactor model of the monthly holding period returns on the stocks of exchange-traded financial institutions. In addition to bond and equity returns, the factors include default, liquidity, and term structure risk premiums plus variables that measure changes in deposit demand. To ensure that our sample has a large number of firms, we use data from January 1981 through December 1988. The equity return explains a large share of time-series variation in financial institutions' returns. The additional factors implied by theory have little incremental explanatory power. The two-factor model regression coefficients have considerable cross-sectional variation. This permits us to group intermediaries into portfolios with similar risk exposures. These portfolios bear no relation to the SIC codes that group intermediaries by their charters and lines of business.     

投资者亲社会偏好与风险投资

本文使用2012年和2014年中国家庭追踪调查(CFPS)数据,实证分析了户主的亲社会偏好对其家庭风险投资行为的影响。研究发现,户主的亲社会偏好对其家庭风险投资存在显著的正向影响,即亲社会偏好会促使家庭进行风险投资。在考虑了可能存在的内生性问题之后,这一结果仍然稳健。进一步地,分组回归后发现,在非农户口群体、使用互联网群体和偏好风险群体中,户主的亲社会偏好对其家庭风险投资的影响更加显著。本文的政策含义在于,在制定涉及家庭金融投资的相关政策时应充分考虑亲社会偏好对政策效果的影响。     

Offering Rates on Fixed- and Adjustable-Rate Mortgage Loans

This paper analyzes the macroeconomic determinants of the spread between simultaneous fixed- and adjustable-rate mortgage loan offering rates. Previously developed theoretical relationships are used to construct an econometric model that incorporates both general financial market and region-specific variables. Results indicate that changes in offering rate spreads are positively related to changes in the level and volatility of interest rates and negatively related to changes in variables that proxy for potential default risk.     

中国系统性金融风险度量与货币政策影响机制分析

本文从宏观总体层面构建中国系统性金融风险指数,以SV-TVP-VAR模型分析国内外货币政策对系统性金融风险的影响。结果表明,2001-2018年中国系统性金融风险基本维持在较为稳定的状态并呈现下降趋势;国内货币政策对系统性金融风险产生重要影响,数量型货币供给量的冲击效应更加直接;国外货币政策在金融危机期间对系统性金融风险的冲击较强但冲击在不断减弱。     

Cross-asset relations,correlations and economic implications

This paper examines the interrelations and time-varying correlations for eight assets. One-year rolling correlations reveal that each of the 28 correlations exhibit both positive and negative values. Linear regressions reveal that given macroeconomic and financial variables contain predictive power for different asset return correlations. The term structure of interest rates and consumer sentiment feature as prominent predictor variables. Structural break tests and non-linear regressions indicate a cycling of correlations between high and low risk periods. In seeking to consider the economic content of the interrelations, we construct a safe and risky portfolio and show that the correlation between these portfolios can allow for improved market timing. Further, the safe and risky portfolio returns and correlation exhibit predictive power for macroeconomic conditions and may be used in a leading indicator role. The results presented here should be of interest to investors and policy-makers as well as academics wishing to examine the relations between both asset returns and financial and real markets.     

资产价格波动与商业银行脆弱性:理论基础与宏观实践

基于资金循环理论基础,利用2010Q4-2015Q4季度相关指标数据,构建包含金融市场多项资产价格波动的 FCI指数和商业银行脆弱性代理变量,建立两者之间多元线性回归与 VAR模型,并通过脉冲响应函数得出 FCI指数的表达式。研究结果表明,无论是线性回归模型还是 VAR 模型,房地产价格、人民币有效汇率价格波动是造成商业银行脆弱性的主要扰动源,其扰动贡献值高达71%;FCI指数是商业银行脆弱度的单项格兰杰原因。为此,需正确处理好房地产去库存与防风险、人民币国际化改革与国内金融稳定、金融分业监管与加强协调沟通之间的关系。