810 research outputs found
How Should We Regulate Derivatives Markets?
Provides an overview of derivatives markets and the role they played in the 2008 financial crisis. Evaluates policy proposals to reduce systemic risk and increase market efficiency, including centralized clearing and improved price transparency
Existence of independent random matching
This paper shows the existence of independent random matching of a large
(continuum) population in both static and dynamic systems, which has been
popular in the economics and genetics literatures. We construct a joint
agent-probability space, and randomized mutation, partial matching and
match-induced type-changing functions that satisfy appropriate independence
conditions. The proofs are achieved via nonstandard analysis. The proof for the
dynamic setting relies on a new Fubini-type theorem for an infinite product of
Loeb transition probabilities, based on which a continuum of independent Markov
chains is derived from random mutation, random partial matching and random type
changing.Comment: Published at http://dx.doi.org/10.1214/105051606000000673 in the
Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute
of Mathematical Statistics (http://www.imstat.org
Multi-Period Corporate Failure Prediction with Stochastic Covariates
We provide maximum likelihood estimators of term structures of conditional probabilities of bankruptcy over relatively long time horizons, incorporating the dynamics of firm-specific and macroeconomic covariates. We find evidence in the U.S. industrial machinery and instruments sector, based on over 28,000 firm-quarters of data spanning 1971 to 2001, of significant dependence of the level and shape of the term structure of conditional future bankruptcy probabilities on a firm's distance to default (a volatility-adjusted measure of leverage) and on U.S. personal income growth, among other covariates.Variation in a firm's distance to default has a greater relative effect on the term structure of future failure hazard rates than does a comparatively sized change in U.S. personal income growth, especially at dates more than a year into the future.
Capital Mobility and Asset Pricing
We present a model for the equilibrium movement of capital between asset markets that are distinguished only by the levels of capital invested in each. Investment in that market with the greatest amount of capital earns the lowest risk premium. Intermediaries optimally trade off the costs of intermediation against fees that depend on the gain they can offer to investors for moving their capital to the market with the higher mean return. Those fees also depend on the bargaining power of the investor, in light of potential alternative intermediaries. In equilibrium, the speeds of adjustment of mean returns and of capital between the two markets are increasing in the degree to which capital is imbalanced between the two markets.capital mobility, market frictions, financial intermediation, law of one price
Information Percolation with Equilibrium Search Dynamics
We solve for the equilibrium dynamics of information sharing in a large
population. Each agent is endowed with signals regarding the likely outcome of
a random variable of common concern. Individuals choose the effort with which
they search for others from whom they can gather additional information. When
two agents meet, they share their information. The information gathered is
further shared at subsequent meetings, and so on. Equilibria exist in which
agents search maximally until they acquire sufficient information precision,
and then minimally. A tax whose proceeds are used to subsidize the costs of
search improves information sharing and can in some cases increase welfare. On
the other hand, endowing agents with public signals reduces information sharing
and can in some cases decrease welfare
Transform Analysis and Asset Pricing for Affine Jump-Diffusions
In the setting of affine' jump-diffusion state processes, this paper provides an analytical treatment of a class of transforms, including various Laplace and Fourier transforms as special cases, that allow an analytical treatment of a range of valuation and econometric problems. Example applications include fixed-income pricing models, with a role for intensityy-based models of default, as well as a wide range of option-pricing applications. An illustrative example examines the implications of stochastic volatility and jumps for option valuation. This example highlights the impact on option 'smirks' of the joint distribution of jumps in volatility and jumps in the underlying asset price, through both amplitude as well as jump timing.
Multi-Period Corporate Default Prediction With Stochastic Covariates
We provide maximum likelihood estimators of term structures of conditional probabilities of corporate default, incorporating the dynamics of firm-specific and macroeconomic covariates. For U.S. Industrial firms, based on over 390,000 firm-months of data spanning 1979 to 2004, the level and shape of the estimated term structure of conditional future default probabilities depends on a firm's distance to default (a volatility-adjusted measure of leverage), on the firm's trailing stock return, on trailing S&P 500 returns, and on U.S. interest rates, among other covariates. Distance to default is the most influential covariate. Default intensities are estimated to be lower with higher short-term interest rates. The out-of-sample predictive performance of the model is an improvement over that of other available models.
Size Discovery
Size-discovery mechanisms allow large quantities of an asset to be exchanged at a price that does not respond to price pressure. Primary examples include "workup" in Treasury markets, "matching sessions" in corporate bond and CDS markets, and block-trading "dark pools" in equity markets. By freezing the execution price and giving up on market clearing, size-discovery mechanisms overcome concerns by large investors over their price impacts. Price-discovery mechanisms clear the market, but cause investors to internalize their price impacts, inducing costly delays in the reduction of position imbalances. We show how augmenting a price-discovery mechanism with a size-discovery mechanism improves allocative efficiency
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