商业银行风险预警指标体系构建\n——以浦发银行为例

根据风险源因素可以将银行风险结构区分为感染性风险、携带性风险、蜕变性风险。银行风险预警指标体系由3个一级指标和18个二级指标构成。以浦发银行为例进行的实证检验发现：银行风险是多因素综合作用的结果;各风险因素具有相关性;经济的货币化程度、不良贷款率、资本充足率、资本效率等10个指标具有较好预警能力;蜕变性指标对银行风险影响更大。     

Systemic financial risk indicators and securitised assets: an agent-based framework

The paper presents an agent-based model of a credit economy which includes a securitisation process and a bailout mechanism for bank bankruptcies. Within this framework, banks are able to sell mortgages to a financial vehicle corporation, which finances its activity by creating mortgage-backed securities and selling them to a mutual fund. In turn, the mutual fund collects liquidity by selling shares to households and remunerates them with a monthly interest. The impact of this mechanism is analysed by means of computational experiments for different levels of banks’ securitisation propensity. Furthermore, we study a set of systemic risk indicators which have the aim of assessing the imbalances in the financial system. Two of them are the mortgage-to-GDP ratio and the capital adequacy ratio, which are constructed to detect only the on-balance sheet changes in banks’ credit exposure. We consider two additional indicators, similar to the previous ones with the only difference that they are also able to account for the off-balance sheet items. Moreover, we adopt an indicator, the so-called “virtuous–unvirtuous cycle” indicator, which, besides off-balance assets, targets also the GDP. The results show that higher securitisation propensity weakens the financial stability of banks with relevant effects on different sectors of the economy. Most importantly, the analysis of systemic risk reveals the important issue of designing suitable systemic risk indicators for predicting incoming financial crises, finding that an essential feature of these indicators should be to integrate banks’ off-balance sheet assets.

     

我国商业银行资本充足率的影响因素研究

本文以我国A股上市的6家商业银行2015~2018年的财务年度数据为研究样本,实证分析商业银行资本充足率的影响因素。结果表明:权益、贷款、利润、不良贷款率四个方面的增速都可促进资本充足率增速的提升;利润增速及不良贷款率增速与资本充足率增速呈现相反态势。各大商业银行可利用股票的增值发行、长期次级债券的发行,或通过整改完善自身资产结构、调节资产组合、避免不良贷款出现以及提升应对市场风险的能力等举措提升自身资本充足率。     

A methodology for testing a new spatial model of elections

The purpose of this paper is to offer a methodology for testing a new spatial theory of elections. Specifically, it is shown that the new spatial model of elections developed by Enelow and Hinich (1984a) is statistically equivalent to assuming that a classical factor structure underlies the data that voters provide concerning the issue positions of themselves and the candidates. A factor analysis of the sample correlation matrix of candidate variables averaged over voters and issues provides consistent estimates of the candidate locations in the space of predictive dimensions postulated by Enelow and Hinich, and the facor scores assigned to the voters can be used to project the voters onto the same predictive space with the candidates. This new scaling method is used to locate the positions of voters and candidates in the underlying predictive space of the 1980 Presidential election. Internal checks confirm the empirical adequacy of the candidate locations, and probit analysis is used as an external check on the empirical adequacy of the voter locations. For the pre-election data, no loss of accuracy in predicting voter choice was found in moving from the issue data to the estimated factor locations of voters and candidates. For the post-election data, a modest drop in accuracy was discovered. Overall, the empirical adequacy of factor analysis was confirmed as a methodology for testing the new Enelow-Hinich spatial model of elections.     

A Firm-Specific Analysis of the Exchange-Rate Exposure of Dutch Firms

We examine the relationship between exchange‐rate changes and stock returns for a sample of Dutch firms over 1994–1998. We find that over 50 per cent of the firms are significantly exposed to exchange‐rate risk. Furthermore, all firms with significant exchange‐rate exposure benefit from a depreciation of the Dutch guilder relative to a trade‐weighted currency index. This result confirms that firms in open economies, such as the Netherlands, exhibit significant exchange‐rate exposure. We collect unique information on the most relevant individual currencies for each firm with respect to their influence on firm value. Our results indicate that the use of a trade‐weighted currency index and the use of individual exchange rates are complements. We also measure the determinants of exchange‐rate exposure. As expected, we find that firm size and the foreign sales ratio are significantly and positively related to exchange‐rate exposure. In contrast with our hypothesis, off‐balance hedging using derivatives has no significant effects. Finally, in line with theory, we find that exposure is significantly reduced through on‐balance sheet hedging, i.e., through foreign loans and by producing in factories abroad.     

Evaluating the Adequacy of Parametric Functional Forms in Estimating Monotone and Concave Production Functions

We consider situations where the a priori guidance provided by theoretical considerations indicates only that the function linking the endogenous and exogenous variables is monotone and concave (or convex). We present methods to evaluate the adequacy of a parametric functional form to represent the relationship given the minimal maintained assumption of monotonicity and concavity (or convexity). We evaluate the adequacy of an assumed parametric form by comparing the deviations of the fitted parametric form from the observed data with the corresponding deviations estimated under DEA. We illustrate the application of our proposed methods using data collected from school districts in Texas. Specifically, we examine whether the Cobb–Douglas and translog specifications commonly employed in studies of education production are appropriate characterizations. Our tests reject the hypotheses that either the Cobb–Douglas or the translog specification is an adequate approximation to the general monotone and concave production function for the Texas school districts.     

INTRAHOUSEHOLD INEQUALITY AT DIFFERENT WELFARE LEVELS: ENERGY INTAKE AND ENERGY EXPENDITURE DATA FROM THE PHILIPPINES*

ABSTRACTS This paper investigates the relationship between intrahousehold inequality and levels of household welfare. Under certain conditions it is demonstrated — with both the unitary model of the household and with some collective models — that the relationship between household welfare and inequality within the household can have an inverted u-shape. Using two sets of calorie adequacy data from a sample of 455 households in the Philippines, a spline analysis is used to test the hypothesis that inequality within the household first increases and then decreases as per capita household total expenditure increases. The two sets of calorie adequacy data are based on repeated 24- hour recalls of dietary intake, and on calorie requirements that are unadjusted and then adjusted for individual activity patterns. Results indicate that once activity patterns are accounted for, calorie intake shortfalls are borne fairly equally within the household at all per capita household total expenditure levels.     

我国存货投资与宏观经济波动相关性的分析

在对国内外存货投资与经济波动相关文献简要介绍的基础上,具体分析了中国的存货/销售额比率及存货投资与中国经济周期之间的相关性。研究表明:存货/销售额比率的逆周期性特征比较明显,并体现出一定的持久性;就长期而言,存货投资的顺周期性特征比较明显,就短期来讲,存货投资与经济波动的规律性并不存在。作为政策参考,建议采取存货/销售额比率作为宏观经济形势判断的参考指标,并密切跟踪存货投资的顺周期性特征的未来表现。     

银行最优资本结构问题分析

本文在一个两时期模型中分别分析了无资本监管和实行资本监管时银行最优资本结构的选择。在这两种情况下,银行都可以选择一个最优资本结构以实现其价值最大化。在无资本监管时,当边际收益等于边际成本时,银行的资本结构达到最优;在实行资本监管的情况下,银行的最优资本数量是无监管时的最优资本数量再加上一个缓冲资本。     

UK Multinationals' Effective Use of Financial Currency‐Hedge Techniques: Estimating and Explaining Foreign Exchange Exposure Using Bilateral Exchange Rates

Using a unique dataset of recently available accounting disclosures, this study examines the relationship between UK multinationals' stock returns and changes in the principal exchange rate to which each firm is most exposed. We find more firms with significant foreign exchange exposure estimates using this firm‐specific principal currency data, compared with those exposure estimates using the broad exchange rate index data prevalent in prior studies. The cross‐sectional variations in such principal‐currency exposure estimates are explained in relation to the financial currency‐hedge techniques that each firm specifically identifies as being used to manage its currency risk. In particular, we provide evidence that firms effectively use foreign currency derivatives and foreign‐denominated debt to reduce the currency risk associated with the bilateral exchange rate to which they are most exposed. This study is important to both the academic and the practitioner communities because it represents the first use of publicly available UK disclosures to improve the estimation and explanation of foreign exchange exposure.     

Measuring total factor productivity,technical change and the rate of returns to research and development

This paper examines the relationship between research and development expenditures and total factor productivity using establishment level (or micro) data. The confidential data are taken from the U.S. Bureau of the Census Annual Survey of Manufacturers and other Census surveys. Several measures of total factor productivity are considered as are several variables that proxy for technical knowledge. The latter include research and development expenditures by the firm, the accumulated research expenditures of the industry, and new equipment purchases. We find that there is a statistically significant relationship among above measures of technical expertise and a broad measure of total factor productivity.The refereeing process of this paper was handled through N.R. Adam.     

Does financial regulation affect the profit efficiency and risk of banks? Evidence from China's commercial banks

The goal of financial regulation is to enable banks to improve liquidity and solvency. Stricter regulation may be good for bank stability, but not for bank efficiency. This research aims to examine whether banks have met the CBRC's standard of financial regulations and explores how the previously implemented financial regulations have affected bank efficiency and risk in the past. In addition, we also explored the trade-off relationship between efficiency and risk. Unlike other studies, this study used bank assets as a classification standard from the financial risk and differential regulatory perspective.The empirical results indicate that the CBRC regulates the provision coverage ratio and cost-to-income ratio, which seems relevant to large banks and the loan-to-deposit ratio, capital adequacy ratio, and leverage ratio, which seems relevant to small banks. The CBRC regulates the current ratio to reduce the risks of banks. Based on our empirical results, the current ratio did not affect the risks and led to different efficiency results between large and small banks. In an environment with asymmetric information, a bank decision-making is unobservable. The characteristics of financial regulation provide market clues if a bank is operating at the most efficiency and risk condition.     

Exploring the Relationship Between Rework Projects and Risk Indicators

When projects fail to adequately meet requirements, organizations are forced to either abandon the project or to initiate a new project to address the original project requirements. Because the organization already has experience with and exposure to many project details, it is possible that the second attempt to address the original requirements (a rework project) will create different challenges for the project team. The purpose of this study was to examine risk indicators for rework projects and to determine whether or not risk indicators were the same or different for rework projects. A risk indicator is a factor that has predictive power about the likelihood of a risk occurring in the course of a project's life cycle. The projects studied for this research were undertaken by a large engineering design organization. The results show that there are some important differences in the types of risk indicators experienced by project managers and project teams in rework projects. Specifically, the risks associated with project urgency, quality, and technological changes were more common in rework projects. By understanding and attending to these differences in rework project risks, project managers will be better equipped to successfully guide rework projects to completion.     

A measure of a nation's physical energy supply risk

Along with the oil price, concerns about the security of energy supply have soared once again in recent years. Yet, some 40 years after the OPEC oil embargo in 1973, there is no widely accepted statistical measure that captures the notion of energy security. Most likely, this deficit is the result of the great variety of resource economic aspects that are of potential relevance. This paper develops a statistical risk indicator that aims at characterizing the physical energy supply vulnerability of nations that are heavily dependent on energy imports. Our risk indicator condenses the empirical information on the imports of the whole range of fossil fuels, originating from a multitude of export countries, as well as data on their indigenous contribution to domestic energy supply, into a single figure. Applying the proposed concept to energy data on Germany and the U.S. (1980–2007), we find that there is a large gap in the supply risks between both countries, with Germany suffering much more from a tight energy supply situation today than the U.S.     

Stochastic analysis of a hospital's X-ray filing system—A case study

This paper reports some work done on the problem of predicting the total size and constitution of files of X-ray film in a major hospital, though the results apply in other situations. Results are derived for a steady-state file which show how the size and constitution of the file would change if the characteristics of the system's patients were to change.

In particular, the space demands associated with different filing policies are examined.     

Measuring financial systemic stress for Turkey: A search for the best composite indicator

In this study, we aim to construct a single financial stress indicator (FSI) for Turkey adopting weekly data from between April 2005 and December 2016. To do so, we compose 15 different FSIs using 14 variables that will represent five different markets, i.e. the money market, the bond market, the foreign exchange market, the equity market and the banking sector. We aggregate these five different markets using a variety of techniques, including principal component analysis (PCA), basic portfolio theory, variance equal weights and the Bayesian dynamic factor model. We compare 15 different FSIs on the basis of their relation to, and the forecasting power of, different variables such as the growth rate of industrial production, the OECD business condition index and the OECD composite leading indicator for Turkey. Our results suggest that there is no simple best indicator for Turkey to measure financial systemic stress. Some indicators offer good forecasting power for economic growth while others have a stronger correlation with systemic risk. Therefore, we offer a final FSI for Turkey conducting a model averaging method via a rolling correlation based weighting scheme to benefit from the information content of all the FSIs and observe that the final FSI successfully indicates the tension periods.     

Coordination and non-coordination risks of monetary and macroprudential authorities: A robust welfare analysis

This study compares a central bank’s leaning against the wind approach with a mix of monetary and macroprudential policies under parameter uncertainty in an estimated DSGE model with two financial frictions. We show that uncertainty of the economic environment is an essential constituent in properly designing macroprudential policy. Although coordination between monetary and macroprudential policies minimizes the policymakers’ Bayesian risk, coordination and non-coordination risks threaten the goals of both authorities. The former describes the situation where the authorities partly resign from implementing the monetary policy objectives to stabilize macroprudential risk. The latter is when conducting a non-coordinated macroprudential policy induces higher total Bayesian risk than when only the central bank minimizes the expected total welfare loss. The robust Bayesian macroeconomic rules show that when financial shocks shrink the banks’ or entrepreneurial net worth, a contractionary macroprudential policy should be combined with an expansionary monetary policy. However, if capital adequacy ratio or risk shocks strike the economy, such a conflict in macroeconomics policy instruments disappears, thus synchronizing both policies.     

Equal Opportunity for Women in Intercollegiate Sports: Financial Aid and Family Background as Major Influences on Female Participation in Competitive Programs

A bstract . Financial aid is an important factor in determining women's rate of participation in intercollegiate sports and is likely to become an even more important influence. Regression analysis of data from a representative sample of female athletes attending institutions in the two major divisions of the National Intercollegiate Athletic Association and of financial information from the institutions shows that socioeconomic background also is a major factor. Other variables that explain such participation are total non-scholarship direct expenditures (a proxy for quality), birth order and per capita direct expenditures. Although a university's or college's dollar commitment is having a major impact, economic considerations indicate there are some potential dangers in allocating grants according to the ratio of female to male athletes.     

Robust tests of forward exchange market efficiency with empirical evidence from the 1920s

This paper provides a robust statistical approach to testing the unbiasedness hypothesis in forward exchange market efficiency studies. The methods we use allow us to work explicitly with levels rather than differenced data. They are statistically robust to data distributions with heavy tails, and they can be applied to data sets where the frequency of observation and the futures maturity do not coincide. In addition, our methods allow for stochastic trend non-stationarity and general forms of serial dependence. The methods are applied to daily data of spot exchange rates and forward exchange rates during the 1920s, which marked the first episode of a broadly general floating exchange rate system. The tail behaviour of the data is analysed using an adaptive data-based method for estimating the tail slope of the density. The results confirm the need for the use of robust regression methods. We find cointegration between the forward rate and spot rate for the four currencies we consider (the Belgian and French francs, the Italian lira and the US dollar, all measured against the British pound), we find support for a stationary risk premium in the case of the Belgian franc, the Italian lira and the US dollar, and we find support for the simple market efficiency hypothesis (where the forward rate is an unbiased predictor of the future spot rate and there is a zero mean risk premium) in the case of the US dollar.     

Testing the effectiveness of regulatory interest rate risk measurement

A depository institution's interest rate risk (IRR) exposure is the sensitivity of its earnings or market value of equity to changes in interest rates. Since the mid-1980's, bank regulators have developed broadly applied, centralized IRR models which are used to help assess individual institutions' capital adequacy. This paper tests the effectiveness of the earliest of these regulatory IRR models: the incomegap estimates calculated by the Federal Home Loan Bank Board (FHLBB) during the latter 1980's. Despite the many problems caused by the broad application of generic assumptions and the presence of embedded options, we find that the FHLBB gap estimates provided a significant measure of IRR exposure. We believe that these results bode well for the success of ongoing, more sophisticated regulatory modeling efforts.