Bank Risk, Capitalization, and Operating Efficiency

A simultaneous equation framework is used to test hypotheses about the interrelationships among bank interest rate and credit risk-taking, capitalization, and operating efficiency. A positive effect of inefficiency on risk-taking was found and supports the moral hazard hypothesis that poor performers are more vulnerable to risk-taking than high performance banking organizations. A positive effect of inefficiency on the level of capital is attributable to regulatory pressure on underperforming institutions. At the same time, firms with more capital are found to operate more efficiently than less well-capitalized banking organizations. A U-shaped relationship is detected between inefficiency and loan growth, indicating that operating efficiency improves at a decreasing rate as loan growth rate increases. This supports the hypothesis that entrenched managers who pursue a growth objective to enhance their own wealth tend to operate inefficiently.     

Tax Competition and Redistribution in a Two-Country Endogenous-Growth Model

This paper examines the effects of policy coordinationin a two-country world with endogenous growth and imperfect capitalmobility. Redistribution is financed by a source-based capital-incometax. Comparing the cases in which countries do and do not coordinatetheir fiscal policies, it is shown that redistribution can beinefficiently high if fiscal policies are not coordinated. Thisis because the negative effects of fiscal policy on home savingsaffect economic growth abroad by inducing a decline in foreigninvestment. This externality can dominate the well-known tax-baseexternality.     

Why do security prices change? A transaction-level analysis of NYSE stocks

This article develops and tests a structural model of intradayprice formation that embodies public information shocks andmicrostructure effects. We use the model to analyze intradaypatterns in bid-ask spreads, price volatility, transaction costs,and return and quote auto-correlations, and to construct metricsfor price discovery and effective trading costs. Informationasymmetry and uncertainty over fundamentals decrease over theday, although transaction costs increase. The results help explainthe U-shaped pattern in intraday bid-ask spreads and volatility,and are also consistent with the intra-day decline in the varianceof ask price changes.     

ASSET BACKED COMMERCIAL PAPER: GET WITH THE PROGRAM

Asset backed commercial paper, or ABCP for short, is commercial paper that is issued by a special purpose corporation against undivided interests in corporate receivables, including retail, trade, or export receivables. Since the inception of the market in 1983, the volume of ABCP has grown to represent about 16% of the total commercial paper market.
ABCP is a valuable source of liquidity for companies that generate a steady flow of quality receivables. Many ABCP programs restrict purchases to companies with investment grade ratings. For such companies, ABCP may help diversify funding sources and allow the firms to lower their funding costs by arbitraging different markets. But ABCP programs can also prove a low-cost source of funding for companies that either do not have access to the CP market through their own balance sheets or have used up their prime CP and bank borrowing capacity. ABCP is also an important source of funds for smaller companies requiring liquidity to support rapid growth.
ABCP programs can be viewed as "synthetic" revolving bank credit facilities in the sense that they can provide the same flow of funds as revolving credits by using a vehicle constructed specifically to refinance pools of receivables. The benefits of ABCP relative to bank lines of credit may take the form of either lower interest rates, less restrictive financial covenants, or both. Although ABCP is at best a partial substitute for bank credit, the liquidity provided by an asset backed commercial paper program can be used to hold down the costs of bank borrowing.     

Measuring the economic benefit from R&D: results from the mass, length and flow programmes of the UK national measurement system

This study sought to measure the economic consequences of reduced expenditure on specific sections of the UK National Measurement System (NMS), part of the state-funded technological infrastructure. A method was developed which can be adapted to any publicly or privately financed R&D of which the benefits and cost-effectiveness are unclear or contested.
The recent interactions between the NMS and industry were investigated empirically. Five mechanisms were found to account for the majority of instances of successful value creation. Several case studies of each mechanism were collected, illustrating their existence beyond reasonable doubt.
Each of the cut projects would have been expected to have encouraged growth and profitability in identified sectors of the economy through one or more of these five mechanisms. The effects of the cuts were modelled over 30 years. Compared to the costs of the cut projects projected over the same period, the benefits to the economy were predicted to exceed the costs.     

Capital mobility,wage bargaining,and social insurance policies in an economic union

In a two-country model with mobile capital we analyse decentralized social insurance policies. These policies are a compromise between the preferences of workers and capital owners. Due to wage bargaining, worker-based social insurance contributions are borne by capital owners. These contributions affect the profitability of investment, and consequently the direction and size of capital flows. Countries will take account of these effects in determining social insurance policy. Noncooperative decision making results in tax competition and an underprovision of social insurance. In addition, increasing economic integration, represented by increasing capital mobility, could imply a divergence of social insurance levels in the two countries.     

Risk taking and failure in de novo savings and loans in the 1980s

This article examines failure rates in de novo S&Ls that initiated operations during the 1980–1986 period. Overall failure rates are similar to those for existing institutions but are found to vary significantly by location, time of charter, and organizational form. Both univariate tests and results from a probability-of-failure model indicate that inadequate capital, economic stress, poor management of higher risk lending allowed by broader powers, and operating inefficiencies contributed significantly to the likelihood of failure. Use of brokered funds and rapid asset growth are also significantly related to failure likelihood. Interestingly, for those S&Ls which eventually failed, rapid asset growth and high proportions of nonperforming assets actually delayed the timing of their failure. We interpret this to be the result of regulatory forbearance. We also find significant differences between the financial characteristics of de novo and non-de novo S&Ls.     

Time diversification and security preferences: A stochastic dominance analysis

We use stochastic dominance to test whether investor should prefer riskier securities as the investment horizon lengthens. Return distributions for stocks, bonds, and U.S. Treasury bills are generated for holding periods of one to 25 years by simulation. For each holding period, stochastic dominance tests are run to establish preferences between the alternative security classes. Contrary to previous mean-variance based studies, we find no evidence that high-risk securities (stocks) dominate low-risk securities (bonds, Treasury bills) as the investment horizon lengthens. However, we do find that corporate bonds systematically dominate government bonds.     

Real estate return correlations: Real-world limitations on relationships inferred from NCREIF data

Correlation estimates for returns between individual properties are subject to large inherent uncertainties due to limits on the amount of data that is likely to be available for the foreseeable future. After allowance for correlation sampling error, it is impossible to distinguish on an ex ante basis between the risk-reduction capabilities of mean-variance portfolio selection models and naive diversification without regard to property type or geographical location. The naive portfolio diversification strategies of typical institutional real estate portfolio managers are rational responses to limitations on the informational content of statistical analyses of historical real estate data.