Knowledge that Transforms

Credit limit management is of paramount importance for successful short-term credit risk management, even more so when the situation in credit and financial markets is tense. We consider a continuous-time model where the credit provider and the credit taker interact within a game-theoretic framework under different information structures. The model with complete information provides decision-theoretic insights into the problem of optimal limit policies and motivates more complicated information structures. Moving to a partial information setup, incentive distortions emerge that are not in the bank’s interest. We discuss how these distortions can effectively be reduced by an incentive-compatible contract. Finally, we provide some practical implications of our theoretical results.

Burgstahler and Dichev (BD) (Burgstahler, David, Ilia, Dichev, 1997. Earnings management to avoid earnings decreases and losses. Journal of Accounting and Economics 23(1), 99–126.) and Degorge, Patel, and Zeckhauser (DPZ) (Degeorge, Franscois, Patel, Jayendu, Zeckhauser, Richard, 1999. Earnings management to exceed thresholds. Journal of Business 72(1), 1–33.) examine earnings management among American firms by looking at actual distributions around critical thresholds. Chinese firms must meet minimal ROE requirements if they are to have rights issues. Using a distribution approach, we examine whether Chinese firms manipulate their earnings to meet the regulatory requirements. Our empirical findings indicate that Chinese firms indeed heavily engaged in earnings management to meet the rights issue thresholds during the period 1994–2002. In addition, we show that these firms changed their behavior in response to changes in regulatory requirements. Furthermore, we analyse the pervasiveness of this practice and the means used in earnings management at the relevant ROE thresholds. Our findings have direct policy implications for the China Securities Regulatory Committee (CSRC).

In analyzing the IMF attempts to stabilize private capital flows, we contrast cases where banks and bondholders do the lending. Consistent with banks’ natural advantage in monitoring, they reduce spreads as they obtain more information through repeat transactions with borrowers. By comparison, repeat borrowing has little influence in bond markets, where publicly-available information dominates. But spreads on bonds are lower when they are issued in conjunction with an IMF-supported program, as if the existence of a program conveys positive information to bondholders. The influence of IMF monitoring in bond markets is especially pronounced for countries vulnerable to liquidity crises.

In this paper we propose a Bayesian vector autoregressive model with time-varying parameters (BVAR-TVP) to examine the short-term predictability of exchange rates. An important contribution of the paper is the application of the BVAR-TVP model, for the first time, to daily data using information from financial markets. Another contribution is the production of forecasts in real time at the very short horizon of one-trading day-ahead typically used by traders and investors in financial markets. We employ financial criteria and recently developed statistical tests to assess the exchange rate predictability. We find that the BVAR-TVP model outperforms the random walk for all exchange rates. These forecast gains are due primarily to the time-variation of coefficients, and secondly to information from other financial markets. It is shown that international investors could have made statistically significant excess profits if they had followed an inter-day trading strategy based on the buy/sell signals generated by the model’s one-day-ahead exchange rate forecasts, even after allowing for transaction costs and risk factors.

Potential diversification benefits are one reason why US financial holding companies are offering a growing range of financial services. This paper examines whether the observed shift toward activities that generate fees, trading revenue, and other non-interest income has improved the performance of US financial holding companies (FHCs) from 1997 to 2002. We find evidence that diversification benefits exist between FHCs, but these gains are offset by the increased exposure to non-interest activities, which are much more volatile but not necessarily more profitable than interest-generating activities. Within FHCs, however, marginal increases in revenue diversification are not associated with better performance, while marginal increases in non-interest income are still associated with lower risk-adjusted profits. The key finding that diversification gains are more than offset by the costs of increased exposure to volatile activities represents the dark side of the search for diversification benefits and has implications for supervisors, managers, investors, and borrowers.

This study analyses the impact of macroeconomic news announcements on the conditional volatility of bond returns. Using daily returns on the 1, 3, 5 and 10 year US Treasury bonds, we find that announcement shocks have a strong impact on the dynamics of bond market volatility. Our results provide empirical evidence that the bond market incorporates the implications of macroeconomic announcement news faster than other information. Moreover, after distinguishing between types of macroeconomic announcements, releases of the employment situation and producer price index are especially influential at the intermediate and long end of the yield curve, while monetary policy seem to affect short-term bond volatility.

The risk-neutral credit migration process captures quantitative information which is relevant to the pricing theory and risk management of credit derivatives. In this article, we derive implied migration rates by means of a recently introduced credit barrier model which is calibrated on the basis of aggregate information such as credit migration rates and credit spread curves. The model is characterized by an underlying stochastic process that represents credit quality, and default events are associated to barrier crossings. The stochastic process has state dependent volatility and jumps which are estimated by using empirical migration and default rates. A risk-neutralizing drift and forward liquidity spreads are estimated to consistently match the average spread curves corresponding to all the various ratings. The implied migration rates obtained with our credit barrier model are then compared with those obtained via the Kijima–Komoribayashi model.

This paper presents a theory of firm access to the bond market in which information gathering agencies are valuable but alter the relative cost of bond financing across firms and over the business cycle. The theory builds on the assumption that information frictions prevent these agencies from rating firms correctly all of the time. As a result, the cost of bond financing becomes dependent on the state of the economy and the “quality” of the signal provided by these agencies’ ratings. In addition, when the mix of bond issuers becomes riskier, as happens in recessions, bond financing becomes more expensive for mid-quality firms. Bond financing may even become more expensive to all firms, in which case mid-quality firms will be affected the most. The analysis of the bonds issued in the last two decades by American firms shows that split ratings, our proxy for the “quality” of the rating agencies’ signal, do not affect the relative cost of bond financing across firms in expansions, but they do increase the relative cost of this funding source for mid-credit quality issuers in recessions.