This paper presents two applications of Extreme Value Theory (EVT) to financial markets: computation of value at risk and assets returns dependence under extreme events (i.e. tail dependence). We use a sample comprised of the United States, Europe, Asia, and Latin America. Our main findings are...

Abstract: In the standard Weighted Average Cost of Capital (WACC) applied to the free cash flow (FCF), we assume that the cost of debt is the market, unsubsidized rate. With debt at the market rate and perfect capital markets, debt only creates value in the presence of taxes through the tax...

We present a static general equilibrium model of an economy with agents with heterogeneous wealth and endogenous credit constraints created by partial loan recovery rates. Higher loan recovery rates and better bankruptcy protection increase output and credit penetration, while the former raises...

Between the 1970's and the 1980's, the market of derivatives flourished. Forwards, futures and options began to be regularly traded. According to information gathered by The Bank of International Settlements, between January and April 1998, the value of over-the-counter (OTC) positions...

Between the 1970's and the 1980's, the derivatives market flourished. Forwards, futures and options began to be regularly traded. According to information gathered by The Bank of International Settlements, at the end of April 2001 the value of over the counter(OTC) positions outstanding was over...

It is usually conjectured that the nominal exchange rate should be more volatile under a free float than under a dirty float regime. This paper examines this issue for the Chilean economy. Specifically, in September 1999 the Central Bank of Chile eliminated the floating band for the nominal...

Numerous studies have resorted to parametric models to infer the shape of the term structure of interest rates. Recently, however, it has been shown that non-parametric techniques may be more adequate. <BR> This is an empirical study for Chile between December 1992 and April 1998. Monte Carlo...

In this article, we forecast crude oil and natural gas spot prices at a daily frequency based on two classification techniques: artificial neural networks (ANN) and support vector machines (SVM). As a benchmark, we utilize an autoregressive integrated moving average (ARIMA) specification. We...