This 3-page review article summarizes the current state of application of high-dimensional statistics in finance. It teaches about the recent major advances and discoveries by citing the key papers. The significant research gaps are discussed

Hybrid Classical-Quantum computing has already arrived at several commercial quantum computers, offered to researchers and businesses. Here, applications are made to a model of financial options, Statistical Mechanics of Financial Markets (SMFM). These applications were published in many papers...

This paper deals with the estimation of the risk-return trade-off. We use a MIDAS model for the conditional variance and allow for possible switches in the risk-return relation through a Markov-switching specification. We find strong evidence for regime changes in the risk-return relation. This...

This book is a collection of papers for the Special Issue "Quantitative Methods for Economics and Finance" of the journal Mathematics. This Special Issue reflects on the latest developments in different fields of economics and finance where mathematics plays a significant role. The book gathers...

Seaports have historically played a key role in facilitating trade and growth. This paper is the first attempt in the literature to analyse the formation of Chinese seaport cities and the dynamics that drives it. First, we aim to identify theoretically the emergence of urbanized seaports with...

Along with many others, we agree that a modern education in statistics needs to incorporate the practical analysis of real datasets, which are usually more complex than the common examples found in standard textbooks. The software used in the teaching of statistics includes standard spreadsheet...