It is a well-known fact that most of the asset returns tend to be skewed and heavytailed. Heavy tailed distributions such as the Student’s t distribution and Stable distribution are commonly used in finance to model asset returns that areheavy tailed. Additionally, Stable distribution allows...

We present the generalized hybrid averaging (GHA) operator. It is a new aggregation operator that generalizes the hybrid averaging (HA) operator by using the generalized mean. Thus, we are able to generalize a wide range of mean operators such as the HA, the hybrid geometric averaging (HGA), the...

Hierarchical aggregation/disaggregation of time series in order to make forecasts is a frequent challenge in business and econometric scenarios. This work presents a novel approach for selecting an adequate time series disaggregation level as a starting point for making forecasts. The...

Passive investment strategies basically aim to replicate an underlying benchmark. Thereby, the management usually selects a subset of stocks being employed in the optimization procedure. Apart from the optimization procedure, the stock selection approach determines the stock portfolios's...

Even though a random walk process is from a statistical point of view not predictable, some movements can be correlated with specific events concerning other variables. Then, predictable patterns may arise being dependent on this joint event. There is evidence given that equity price busts being...

This paper studies long-term trends of self-employment in Chile. Self-employment is associated with poor job conditions, vulnerability, and instability or informal labor market. Contrary to what is expected, self- employment level does not respond to macroeconomic variables. Using forty-one...

The aim of this paper is to analyze the merits of using the Value At Risk method in estimating the risk associated with investments in metallurgical sector companies. The paper presents how to construct the model, various methods of its estimation and their advantages and disadvantages. In the...

This contribution studies the application of heteroskedasticity robust estimation of Vector-Autoregressive (VAR) models. VAR models have become one of the most applied models for the analysis of multivariate time series. Econometric standard software usually provides parameter estimators that...

I/O models have been widely used to assess the impacts of many changes in an economy. An I/O model is also an important tool to make forecasts and the results from an I/O model are very helpful in many policy-making processes. Many scientific findings in economics have to give credit to the I/O...

Uncovered interest rate parity (UIRP) provides a crucial theoretical concept for many models in international finance and international monetary economics. Using quarterly data span from 1998Q1 to 2010Q3, we run conventional regressions (OLS) and simple GARCH analysis on UIRP for the case of...