Empirical Evidence on the Duration of Bank Relationships

We present evidence on the duration of firm-bank relationships using a unique panel data set of connections between Oslo Stock Exchange-listed firms and their banks for the period 1979-1994. We focus on the determinants of the duration of a relationship and the causes for ending an existing bank relationship. We find that duration itself does not greatly influence the likelihood of ending a relationship: short-lived relationships are as likely to end as long-lived relationships. We also find firms that maintain simultaneous multiple-bank relationships are more likely to end a bank relationship than a single-bank firm and that small, highly-leveraged "growth" firms are more likely to end a bank relationship than large, low-leveraged "value" firms.banking relationships, hazard models, duration analysis JEL Codes: G21, C41

Distressed relationships: lessons from the Norwegian banking crisis

This paper measures the economy-wide impact of bank distress on the loss of relationship benefits. We use the near-collapse of the Norwegian banking system during the period 1988 to 1991 to measure the impact of bank distress announcements on the stock prices of firms maintaining a relationship with a distressed bank. We find that although banks experience large and permanent downward revisions in their equity value during the event period, firms maintaining relationships with these banks face only small and temporary changes, on average, in stock price. In other words, the aggregate impact of bank distress on the real economy appears small. We analyze the cross-sectional variation in firm abnormal returns and find that firms that maintain international bank relationships suffer more upon announcement of bank distress

The stability of interest rate processes

This paper presents a careful reexamination of Chan, Karolyi, Longstaff, and Sanders (CKLS 1992). By redefining the possible regime shift period in line with evidence from known policy changes and past empirical research, we find evidence that contradicts the major results in their paper. The widely cited conclusion of their paper is that the elasticity of interest rate volatility is 1.5. CKLS also concluded that there was no structural shift in the interest rate process after October 1979. When the structural shift period is defined to be temporary and coincident with the Federal Reserve Experiment of October 1979 through September 1982, we find that there is strong evidence of a structural break. Furthermore, we find evidence that, contrary to CKLS's claim, a moderately elastic interest rate process can capture the dependence of volatility on the level of interest rates, while highly elastic models cannot. In particular, this study finds support for the square-root CIR process. These results are robust to changes in the short-rate data used and the treatment of outliers.Econometric models ; Interest rates ; Money

A comparison of refined models for flexible subassemblies

Interactions between structure response and control of large flexible space systems have challenged current modeling techniques and have prompted development of new techniques for model improvement. Due to the geometric complexity of envisioned large flexible space structures, finite element models (FEM's) will be used to predict the dynamic characteristics of structural components. It is widely accepted that these models must be experimentally 'validated' before their acceptance as the basis for final design analysis. However, predictions of modal properties (natural frequencies, mode shapes, and damping ratios) are often in error when compared to those obtained from Experimental Modal Analysis (EMA). Recent research efforts have resulted in the development of algorithmic approaches for model improvement, also referred to as system or structure identification