This study developed specific criteria and a fuzzy analytic network process (FANP) to assess and select portfolios on the Tehran Stock Exchange (TSE). Although the portfolio selection problem has been widely investigated, most studies have focused on income and risk as the main decision-making...

In this paper we provide a review of copula theory with applications to finance. We illustrate the idea on the bivariate framework and discuss the simple, elliptical and Archimedean classes of copulae. Since the copulae model the dependency structure between random variables, next we explain the...

Due to a fast market development in volume and innovation on the structured products (certificates) side, critics are finding fault regarding a lack in transparency and comparability. However, certificates can provide characteristics for every market scenario as its explicit strength. The aim of...

We extend the continuous Cumulative Prospect Theory (CPT) by considering piecewise con-tinuous distributions with a finite number of jump discontinuities. Such distributions are rele-vant in practice, for example, within the framework of financial engineering since cash flow distributions of...

Das Vertrauen in die Stabilität der Staatsfinanzen vieler europäischer Länder und der USA wurde durch die weltweite Wirtschafts- und Finanzkrise nachhaltig erschüttert. Expansive Fiskalprogramme zur Konjunkturstützung und Bailouts zur Rettung des Bankensystems haben die Staatsverschuldung...

Purpose: Along with mutual funds' scale and quantity expanding for our country, it is common for fund management companies hiring new managers or the original fund managers mobilizing from one to another. The high liquidity of fund managers makes different managers regroup to manage the funds...

Financial data are expensive and highly sensitive with limited access. We aim to generate abundant datasets given the original prices while preserving the original statistical features. We introduce the Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP) into the field of...

Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics...

Statistical studies over the last forty-five years show that, although there are success stories, very many mergers and acquisitions do not result in the increased operating profits that economics textbooks would lead one to expect. As consultancy McKinsey have put it, 'Anyone who has researched...

The Great Recession has been characterised by the two stylized facts: the buildup of leverage in the household sector in the period preceding the recession and a protracted economic recovery that followed. We attempt to explain these two facts as an information friction, whereby agents are...