The paper considers the problem of estimating the rate of convergence to the stationary distribution of complex queuing networks. The paper provides an overview of some well-known approaches to solving such problems: functional inequalities, inequalities for the spectral gap, сoupling method...

Studying the power-law scaling of financial time series is a promising area of econophysics, which has often contributed to the understanding of the intricate features of the global markets. In this article, we examine the multifractality of some financial processes and the underlying formation...

For many financial applications, it is important to have reliable and tractable models for the behavior of assets and indexes, for example in risk evaluation. A successful approach is based on ARCH processes, which strike the right balance between statistical properties and ease of computation....

We propose a continuous-time heterogeneous agent model consisting of fundamental, momentum, and contrarian traders to explain the significant time series momentum. We show that the market under-reacts in short-run and over-reacts in long-run when momentum traders dominate the market, which...

Current understanding holds that financial contagion is driven mainly by system-wide interconnectedness of institutions. A distinction has been made between systematic and idiosyncratic channels of contagion, with shocks transmitted through the latter expected to be substantially more likely to...

The seminal work of Fudenberg and Tirole [Preemption and Rent Equalization in the Adoption of New Technology, Rev. Econ. Stud., 1985] on how preemption erodes the value of an option to wait raises general questions about the relation between models in discrete and continuous time and thus about...