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2003, 47
This paper analyses the effects of the Initial Public Offering (IPO) market on real investment decisions in emerging industries. We first propose a model of IPO timing based on divergence of opinion among investors and short-sale constraints. Using a real option approach, we show that firms are more likely to go public when the ratio of overvaluation over profits is high, that is after stock market run-ups. Because initial returns increase with the demand from optimistic investors at the time of the offer, the model provides an explanation for the observed positive causality between average initial returns and IPO volume. Second, we discuss the possibility of real overinvestment in high-tech industries. We claim that investing in the industry gives agents an option to sell the project on the stock market at an overvalued price enabling then the financing of positive NPV projects which would not be undertaken otherwise. It is shown that the IPO market can however also lead to overinvestment in new industries. Finally, we present some econometric results supporting the idea that funds committed to the financing of high-tech industries may respond positively to optimistic stock market valuations.
2003, 48
This paper proposes an intertemporal model of venture capital investment with screening and advising where the venture capitalist´s time endowment is the scarce input factor. Screening improves the selection of firms receiving finance, advising allows firms to develop a marketable product, both have a variable intensity. In our setup, optimal linear contracts solves the moral hazard problem. Screening however asks for an entrepreneur wage and does not allow for upfront payments which would cause severe adverse selection. Project characteristics have implications for screening and advising intensity and the distribution of profits. Finally, we develop a formal version of the "venture capital cycle" by extending the basic setup to a simple model of venture capital supply and demand.
2003, 35
A rapidly growing literature has documented important improvements in volatility measurement and forecasting performance through the use of realized volatilities constructed from high-frequency returns coupled with relatively simple reduced-form time series modeling procedures. Building on recent theoretical results from Barndorff-Nielsen and Shephard (2003c,d) for related bi-power variation measures involving the sum of high-frequency absolute returns, the present paper provides a practical framework for non-parametrically measuring the jump component in realized volatility measurements. Exploiting these ideas for a decade of high-frequency five-minute returns for the DM/$ exchange rate, the S&P500 market index, and the 30-year U.S. Treasury bond yield, we find the jump component of the price process to be distinctly less persistent than the continuous sample path component. Explicitly including the jump measure as an additional explanatory variable in an easy-to-implement reduced form model for realized volatility results in highly significant jump coefficient estimates at the daily, weekly and quarterly forecast horizons. As such, our results hold promise for improved financial asset allocation, risk management, and derivatives pricing, by separate modeling, forecasting and pricing of the continuous and jump components of total return variability.
2003, 33
The paper suggests an innovative contribution to the investigation of banking liabilities pricing contracted by sovereign agents. To address fundamental issues of banking, the study focuses on the determinants of the up-front fees (the up-front fee is a charge paid out at the signature of the loan arrangement). The investigation is based on a uniquely extensive sample of bank loans contracted or guaranteed by 58 less-developed countries sovereigns in the period from 1983 to 1997. The well detailed reports allow for the calculation of the equivalent yearly margin on the utilization period for all individual loan. The main findings suggest a significant impact of the renegotiation and agency costs on front-end borrowing payments. Unlike the sole interest spread, the all-in interest margin better takes account of these costs. The model estimates however suggest the non-linear pricing is hardly associated with an exogenous split-up intended by the borrower and his banker to cover up information. Instead the up-front payment is a liquidity transfer as described by Gorton and Kahn (2000) to compensate for renegotiation and monitoring costs. The second interesting result is that banks demand payment for all types of sovereign risk in an identical manner public debt holders do. The difference is that, unlike bond holders, bankers have the possibility to charge an up-front fee to compensate for renegotiation costs. Hence, beyond the information related issues, the higher complexity of the pricing design makes bank loan optimal for lenders on sovereign capital markets, especially relative to public debt, thus motivating for their presence. The paper contributes to the expanding literature on loan syndication and banking related issues. The study also has relevance for the investigation of the developing countries debt pricing.
2003, 30
Using the Johansen test for cointegration, we examine to which extent inflation rates in the Euro area have converged after the introduction of a single currency. Since the assumption of non-stationary variables represents the pivotal point in cointegration analyses we pay special attention to the appropriate identification of non-stationary inflation rates by the application of six different unit root tests. We compare two periods, the first ranging from 1993 to 1998 and the second from 1993 to 2002 with monthly observations. The Johansen test only finds partial convergence for the former period and no convergence for the latter.
2003, 32
We present an analysis of VaR forecasts and P&L-series of all 13 German banks that used internal models for regulatory purposes in the year 2001. To this end, we introduce the notion of well-behaved forecast systems. Furthermore, we provide a series of statistical tools to perform our analyses. The results shed light on the forecast quality of VaR models of the individual banks, the regulator's portfolio as a whole, and the main ingredients of the computation of the regulatory capital required by the Basel rules.
2003, 08
In this paper we estimate a small model of the euro area to be used as a laboratory for evaluating the performance of alternative monetary policy strategies. We start with the relationship between output and inflation and investigate the fit of the nominal wage contracting model due to Taylor (1980)and three different versions of the relative real wage contracting model proposed by Buiter and Jewitt (1981)and estimated by Fuhrer and Moore (1995a) for the United States. While Fuhrer and Moore reject the nominal contracting model in favor of the relative contracting model which induces more inflation persistence, we find that both models fit euro area data reasonably well. When considering France, Germany and Italy separately, however, we find that the nominal contracting model fits German data better, while the relative contracting model does quite well in countries which transitioned out of a high inflation regime such as France and Italy. We close the model by estimating an aggregate demand relationship and investigate the consequences of the different wage contracting specifications for the inflation-output variability tradeoff, when interest rates are set according to Taylor 's rule.
2003, 03
Learning and equilibrium selection in a monetary overlapping generations model with sticky prices
(2003)
We study adaptive learning in a monetary overlapping generations model with sticky prices and monopolistic competition for the case where learning agents observe current endogenous variables. Observability of current variables is essential for informational consistency of the learning setup with the model set up but generates multiple temporary equilibria when prices are flexible and prevents a straightforward construction of the learning dynamics. Sticky prices overcome this problem by avoiding simultaneity between prices and price expectations. Adaptive learning then robustly selects the determinate (monetary) steady state independent from the degree of imperfect competition. The indeterminate (non-monetary) steady state and non-stationary equilibria are never stable. Stability in a deterministic version of the model may differ because perfect foresight equilibria can be the limit of restricted perceptions equilibria of the stochastic economy with vanishing noise and thereby inherit different stability properties. This discontinuity at the zero variance of shocks suggests to analyze learning in stochastic models.
2003, 01
This paper considers a sticky price model with a cash-in-advance constraint where agents forecast inflation rates with the help of econometric models. Agents use least squares learning to estimate two competing models of which one is consistent with rational expectations once learning is complete. When past performance governs the choice of forecast model, agents may prefer to use the inconsistent forecast model, which generates an equilibrium where forecasts are inefficient. While average output and inflation result the same as under rational expectations, higher moments differ substantially: output and inflation show persistence, inflation responds sluggishly to nominal disturbances, and the dynamic correlations of output and inflation match U.S. data surprisingly well.
2003, 02
This paper compares Bayesian decision theory with robust decision theory where the decision maker optimizes with respect to the worst state realization. For a class of robust decision problems there exists a sequence of Bayesian decision problems whose solution converges towards the robust solution. It is shown that the limiting Bayesian problem displays infinite risk aversion and that decisions are insensitive (robust) to the precise assignment of prior probabilities. This holds independent from whether the preference for robustness is global or restricted to local perturbations around some reference model.