In this paper we examine and present the methodology of feed-forward neural networks with error backpropagation algorithm and non-linear methods. We test some applications of time-series analysis in economics. The first part is consisted by applications following the traditional approach of...

A set of multivariate GARCH models is estimated and its empirical validity is compared from the calculation of the Value at Risk. Data used are the daily returns of the nominal exchange rate of the Colombian peso vis-a-vis the American dollar, euro, sterling and Japanese yen for the period...

Duration is an important parameter used by investors to choose between different investment opportunities in financial economics. While the concept of duration is usually associated with fixed-income assets, its expansion to the equity assets is becoming more relevant in the recent period, due...

In this paper we show how IGARCH effects can arise as an artifact of unaccounted structural change. Using daily returns for the DM/US$ and Yen/US$ exchange rates, the finding is shown to have empirical relevance. GARCH models appear to be useful approximations, for short term forecasting, to a...

In this paper we test for the existence of long memory and structural breaks in the realized variance process for the DM/US$ and Yen/US$ exchange rates. While long memory is evident in the actual processes, a structural break analysis reveals that this feature is partially explained by...

Machine Learning algorithms have been widely used and proven effective in financial markets. In this paper, we introduced a Machine Learning model set trained on the residual factors from the Fama-French three-factor model (Fama and French, 1992) to find significant alpha factors. To include...

This paper proposes a flexible but parsimonious specification of the joint dynamics of market risk and return to produce forecasts of a time-varying market equity premium. Our parsimonious volatility model allows components to decay at different rates, generates mean-reverting forecasts, and...

Although the physical and emotional costs of terrorism are widely known, the financial price of terror attacks is still obscure. This paper seeks to examine the heightened uncertainty surrounding terror attacks across the two Germany's largest and most visited cities (in particular, Berlin and...

Benoit Mandelbrot (1924-2010), a pioneering mathematician, created a new awareness of the chaos of nature - its randomness, irregular shapes, sharp edges, corners, and gaps. He developed the theory of fractals to describe these phenomena, and he also applied his concepts to financial markets....

The disappointing performances of existing economic models are largely due to their reliance on physical calendar time, making them static and rigid. Ultimately, this means that they fail to respond to the disruptive events that characterize markets and the economy at large with sufficient...