Italian Abstract: Presentiamo un modello stocastico multivariato, per sviluppare stress test finalizzati a valutare l'adeguatezza patrimoniale delle banche e il loro grado di fragilità finanziaria. L'articolo fornisce una descrizione teorica del metodo e delle caratteristiche essenziali del...

A long criticism on the usefulness of the traditional CAPM model has been raised in the vast literature of arbitrage pricing models that propose several risk factors on firm fundamentals or investigate the stochastic properties of stock returns' distributions, (Fama and French (2004)). However,...

The Black Litterman (BL) model for portfolio optimization combines investors' expectations with the Markowitz framework. The BL model is designed for investors with private information or with knowledge of market behavior. In this paper I propose a method where investors' expectations are based...

In this paper, we propose two practicable approaches for consistently modelling the realworld and risk-neutral measures within cross-asset Monte-Carlo frameworks. We go on to explore the necessity of supporting the real-world measure and consider its calibration with the aid of an explicit...

This document provides an overview of the StMAR Toolbox, a MATLAB toolbox specifically designed for simulation, estimation, diagnostic, and forecasting of the Student's t mixture autoregressive (StMAR) model proposed by Meitz, Preve & Saikkonen (2018). The StMAR model is a new type of mixture...

Quantifying risk is pivotal for every financial institution. In the conventional framework, time is the key aspect for all the well-established risk measures. However, extracting and analyzing the frequency information conveyed by financial data, could yield improved insights about the inherent...

A key challenge for Bitcoin cryptocurrency holders, such as startups using ICOs to raise funding, is managing their FX risk. Specifically, a misinformed decision to convert Bitcoin to fiat currency could, by itself, cost USD millions. In contrast to financial exchanges, blockchain based...

In this chapter we propose a dynamic model, it brings together the major macroeconomic variables, which impact the price index of the Mexican Stock Exchange (IPC). The daily variations of this index are an indicator of how private agents perceive the economic environment. The relevance of the...

This paper proposes a methodology to anticipate market risk using qualitative and quantitative variables that capture communicative and financial activity within equity networks. During periods of crisis as market risk increases, companies tend to behave alike, and the number of news and common...

This research aims to investigate, through simulation models, how the interaction among agents in an artificial stock market can affect the dynamics of asset prices. Thus, the study follows a different methodology for the analysis of prices by exploring the simulation of agents' behavior in an...