We propose a new procedure for estimating a dynamic joint distribution of a group of assets in a sequential manner starting from univariate marginals, continuing with pairwise bivariate distributions, then with triplewise trivariate distributions, etc., until the joint distribution for the whole...

We propose a nonparametric measure of association between any number of random vectors that is based on the empirical copula process. The measure is insensitive to the dependence of components within vectors and only captures association between vectors as a whole. We calculate approximate...

We design an adaptive framework for the detection of illegal trading behavior. Its keycomponent is an extension of a pattern recognition tool, originating from the field of signalprocessing and adapted to modern electronic systems of securities trading. The new methodcombines the flexibility of...

We study the differential impact of exchange rate volatility on cost efficiency and market structure when banks have non-trivial exposures to foreign currency operations. We use unique pre-war data on quarterly revaluations of assets and liabilities denominated in foreign currencies that Russian...

Technical inefficiency of production reflects a shortfall of output from the potential permitted by inputs. Allocative inefficiency reflects deviations from the optimal ratio of inputs. It is the absolute value of allocative inefficiency that is economically important. Adding allocative...

The paper develops a tail risk forecasting model that incorporates the wealth of economic and financial information available to risk managers. The approach can be viewed as a regularized extension of the two-stage GARCH-EVT model of McNeil and Frey (2000) where we permit a time-varying...

Bayesian nonparametric models based on infinite mixtures of density kernels have been recently gaining in popularity due to their flexibility and feasibility of implementation even in complicated modeling scenarios. In economics, they have been particularly useful in estimating nonparametric...

Economists often use matched samples, especially when dealing with earnings data where a number of missing observations need to be imputed. In this paper, we demonstrate that the ordinary least squares estimator of the linear regression model using matched samples is inconsistent and has a...

This essay focuses on the genesis of ideas of nonlinearity, stochastics, and dynamics in economic thought as a series of intellectual advances that connected the linear static (quasi-dynamic) determinism of the 18th-19th centuries with the linear mechanistic systems with stochastic terms and the...