We propose a multivariate nonparametric technique for generating reliable scenarios and confidence intervals for the term structure of interest rates from historical data. The approach is based on a functional gradient descent (FGD) estimation of the conditional mean vector and the conditional...

We present a multivariate, non-parametric technique for constructing reliable daily VaR predictions for individual assets belonging to a common equity market segment, which takes also into account the possible dependence structure between the assets and is still computationally feasible in large...

We study product innovation and imitation in the market of corporate underwriting with a dynamic model where client switching costs and the bankers’ expertise in deal structuring characterize the life cycle of a security. While the clientele loyalty allows positive rent extraction, the superior...

This paper studies the impact of cash constraints on equilibrium research intensities in a patent race between a current owner of the “state of the art” technology (the incumbent) and entrants. We develop a simple model, where players need to raise funds from imperfectly informed creditors to...

We propose a simple class of semiparametric multivariate GARCH models, allowing for asymmetric volatilities and time-varying conditional correlations. Estimates for time-varying conditional correlations are constructed by means of a convex combination of estimates for averaged correlations...

When information is costly, a seller may wish to prevent prospective buyers from acquiring information, for the cost of information acquisition is ultimately borne by the seller. A seller can achieve the desired prevention of information acquisition through posted-price selling, by offering...

We present a multivariate, non-parametric technique for constructing reliable daily VaR predictions for individual assets belonging to a common equity market segment, which takes also into account the possible dependence structure between the assets and is still computationally feasible in large...

Investment banks develop their own innovative derivatives to underwrite corporate issues but they cannot preclude other banks from imitating them. However, during the process of underwriting an innovator can learn more than its imitators about the potential clients. Moving first puts him ahead...

Investment Banks invest in R&D to design innovative securities even when imitation is possible, i.e., when innovations cannot be patented. We show how a financial institution can profit from the development of financial products even if they are unpatentable. For certain types of financial...

Investment banks imitate other banks innovative corporate securities with their own varieties, and compete with the innovator to underwrite new issues. This paper uses data of all the corporate offerings of Equity-Linked and Derivative Securities from the SDC records to estimate the issuers...