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Dimitrios Kartsonakis Mademlis,Nikolaos Dritsakis
Pág. 49 - 60
In several financial applications, it is extremely useful to predict volatility with the highest precision. Neural Networks alongside GARCH-type models have been extensively employed in the last decades for estimating volatility of financial indices. The...
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Michael Jacobs, Jr.
In this study, we consider the construction of through-the-cycle (?TTC?) PD models designed for credit underwriting uses and point-in-time (?PIT?) PD models suitable for early warning uses, considering which validation elements should be emphasized in ea...
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Takeshi Kobayashi
This study extracts the common factors from firm-based credit spreads of major Japanese corporate bonds and examines the predictive content of the credit spread on the real economy. Instead of employing single-maturity corporate bond spreads, we focus on...
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Marwane El Alaoui, Elie Bouri and Nehme Azoury
We examined the determinants of the U.S. consumer sentiment by applying linear and nonlinear models. The data are monthly from 2009 to 2019, covering a large set of financial and nonfinancial variables related to the stock market, personal income, confid...
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Sanja Vlaovic Begovic,Ljiljana Bonic
Pág. 127 - 139
Decision trees made by visualizing the decision-making process solve a problem that requires more successive decisions to be made. They are also used for classification and to solve problems usually addressed by regression analysis. One of the problems o...
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