Merger and acquisitions in South African banking: A network DEA model

Banking in South Africa is known for its small number of companies that operate as an oligopoly. This paper presents a strategic fit assessment of mergers and acquisitions (M&A) in South African banks. A network DEA (Data Envelopment Analysis) approach is adopted to compute the impact of contextual variables on several types of efficiency scores of the resulting virtual merged banks: global (merger), technical (learning), harmony (scope), and scale (size) efficiencies. The impact of contextual variables related to the origin of the bank and its type is tested by means of a set of several robust regressions to handle dependent variables bounded in 0 and 1: Tobit, Simplex, and Beta. The results reveal that bank type and origin impact virtual efficiency levels. However, the findings also show that harmony and scale effects are negligible due to the oligopolistic structure of banking in South Africa.     

经济转型时期江苏省吸引FDI的现状与建议

通过对经济转型时期江苏省利用外资的现状分析,基于EG协整检验,本文对江苏省吸引外商直接投资的影响因素展开实证研究,分析结果表明江苏省原有的土地和劳动力优势已弱化,而高技术人才对吸引FDI和经济发展的影响显著,经济开放度对吸引外商直接投资也有影响,最后从产业、教育和港口建设等方面对江苏省在经济转型期吸引外商直接投资提出相应政策建议。     

Optimal interest-rate rules and inflation stabilization versus price-level stabilization

This paper compares the properties of interest-rate rules such as simple Taylor rules and rules that respond to price-level fluctuations (called Wicksellian rules) in a basic forward-looking model. By introducing appropriate history dependence in policy, Wicksellian rules perform better than optimal Taylor rules in terms of welfare, robustness to alternative shock processes, and are less prone to equilibrium indeterminacy. A simple Wicksellian rule augmented with a high degree of interest rate inertia resembles a robustly optimal rule, i.e., a monetary policy rule that implements the optimal plan and that is also completely robust to the specification of exogenous shock processes.     

Dynamic panel cointegration approaches to the estimation of money demand functions

This paper investigates properties of the money demand functions of Group of Six (G6) member countries (Canada, France, Italy, Japan, U.K., and U.S.) using the estimation and inference techniques of panel cointegration. Empirical analyses are conducted by estimating money demand equations of G6 countries individually and as a whole, allowing heterogeneity in individual specific fixed effects across countries through dynamic, nonstationary panel estimation techniques. By using recently developed panel cointegration techniques, the paper contributes to the literature of money demand studies by improving the power performance of the relevant estimation and inference procedures. It reports fully modified OLS (FMOLS) estimation results of the money demand model for different data frequencies, to find varying signs and magnitudes of real income, interest rates and inflation elasticities of money demand for G6 nations.     

Is doing good good for you? how corporate charitable contributions enhance revenue growth

This study examines the impact of corporate philanthropy growth on sales growth using a large sample of charitable contributions made by U.S. public companies from 1989 through 2000. Applying Granger causality tests, we find that charitable contributions are significantly associated with future revenue, whereas the association between revenue and future contributions is marginally significant at best. We then identify the mechanism underlying our findings. Our results are particularly pronounced for firms that are highly sensitive to consumer perception, where individual consumers are the predominant customers. In addition, we document a positive relationship between contributions and customer satisfaction. Overall, our evidence suggests that corporate philanthropy, under certain circumstances, furthers firms' economic objectives. Copyright © 2009 John Wiley & Sons, Ltd.     

Robustly optimal monetary policy in a microfounded New Keynesian model

We consider optimal monetary stabilization policy in a New Keynesian model with explicit microfoundations, when the central bank recognizes that private-sector expectations need not be precisely model-consistent, and wishes to choose a policy that will be as good as possible in the case of any beliefs close enough to model-consistency. We show how to characterize robustly optimal policy without restricting consideration a priori to a particular parametric family of candidate policy rules. We show that robustly optimal policy can be implemented through commitment to a target criterion involving only the paths of inflation and a suitably defined output gap, but that a concern for robustness requires greater resistance to surprise increases in inflation than would be considered optimal if one could count on the private sector to have “rational expectations.”     

Monotonicity in asset returns: New tests with applications to the term structure,the CAPM,and portfolio sorts

Many theories in finance imply monotonic patterns in expected returns and other financial variables. The liquidity preference hypothesis predicts higher expected returns for bonds with longer times to maturity; the Capital Asset Pricing Model (CAPM) implies higher expected returns for stocks with higher betas; and standard asset pricing models imply that the pricing kernel is declining in market returns. The full set of implications of monotonicity is generally not exploited in empirical work, however. This paper proposes new and simple ways to test for monotonicity in financial variables and compares the proposed tests with extant alternatives such as t-tests, Bonferroni bounds, and multivariate inequality tests through empirical applications and simulations.     

Are microfinance markets monopolistic?

Do microfinance institutions (MFIs) operate in a monopoly, monopolistic competition environment or are their revenues derived under perfect competition markets? We employ the Panzar–Rosse revenue test on a global panel data to assess the competitive environment in which MFIs of five selected countries operate: Ecuador, India, Indonesia, Peru and Philippines, over the period 2005–2009. We estimate the static and the dynamic revenue tests, with analyses of the interest rate and the return on assets. We control for microfinance-specific variables such as capital-assets-ratio, loans-assets and the size of the MFI. The analyses also account for the endogeneity problem by employing the fixed-effects two-stage least squares and the fixed-effects system generalized method of moments. Our results suggest that MFIs in Peru and India operate in a monopolistic environment. We also find weak evidence that the microfinance industry in Ecuador, Indonesia and Philippines may operate under perfect competition.     

压力测试及其在金融机构风险管理中的运用

本文研究和评价了目前被国际大型金融机构积极采用的风险管理工具:压力测试。作者通过将压力测试与VaR作比较等方法详细阐述了压力测试的特征、使用方法和缺陷,并且进一步分析指出压力测试在金融机构风险管理中的作用及其最新发展状况和趋势,最后着重分析了压力测试在我国运用和发展的前景并提出建议。     

Efficient rank tests for semiparametric competing risk models

We consider a semiparametric competing risk model given by k independent survival times. The paper offers an asymptotic treatment of tests for the semiparametric null hypothesis of equality of the underlying risks. It turns out that modified rank tests are asymptotically efficient for certain semiparametric submodels, where the baseline hazard is a nuisance parameter. In addition, the asymptotic relative efficiency of the present tests is derived. A comparison of asymptotic power functions can then be used to classify various tests proposed earlier in the literature. For instance a chi-square type test is efficient for proportional hazards. Data driven tests of likelihood ratio type are proposed for cones of alternatives. We will consider certain stochastically increasing alternatives as a special example. The paper shows how the concept of local asymptotic normality of Le Cam works for hazard oriented models.