Showing 1 - 10 of 318
Cryptocurrencies have left the dark side of the finance universe and become an object of study for asset and portfolio management. Since they have a low liquidity compared to traditional assets, one needs to take into account liquidity issues when one puts them into the same portfolio. We...
Persistent link: https://www.econbiz.de/10011672439
Persistent link: https://www.econbiz.de/10012232957
A great proportion of stock dynamics can be explained using publicly available information. The relationship between dynamics and public information may be of nonlinear character. In this paper we offer an approach to stock picking by employing so-called decision trees and applying them to XETRA...
Persistent link: https://www.econbiz.de/10003636039
Credit scoring methods aim to assess the default risk of a potential borrower. This involves typically the calculation … of a credit score and the estimation of the probability of default. One of the standard approaches is logistic … discriminant analysis, also referred to as logit model. This model maps explanatory variables for the default risk to a credit …
Persistent link: https://www.econbiz.de/10009627282
The interdependence, dynamics and riskiness of financial institutions are the key features frequently tackled in financial econometrics. We propose a Tail Event driven Network Quantile Regression (TENQR) model which addresses these three aspects. More precisely, our framework captures the risk...
Persistent link: https://www.econbiz.de/10011598923
High-frequency data can provide us with a quantity of informa- tion for forecasting, help to calculate and prevent the future risk based on extremes. This tail behaviour is very often driven by ex- ogenous components and may be modelled conditional on other vari- ables. However, many of these...
Persistent link: https://www.econbiz.de/10011760356
Predicting default probabilities is at the core of credit risk management and is becoming more and more important for …
Persistent link: https://www.econbiz.de/10009526609
default prediction provides a better insight into fundamentals of credit risk analysis. Default prediction and default …, and Thailand. The relevant default predictors over the countries reveal that credit risk analysis is sample specific. A …
Persistent link: https://www.econbiz.de/10009779289
This paper contributes to model the industry interconnecting structure in a network context. General predictive model (Rapach et al. 2016) is extended to quantile LASSO regression so as to incorporate tail risks in the construction of industry interdependency networks. Empirical results show a...
Persistent link: https://www.econbiz.de/10011657294
We model the dynamics of ask and bid curves in a limit order book market using a dynamic semiparametric factor model. The shape of the curves is captured by a factor structure which is estimated nonparametrically. Corresponding factor loadings are assumed to follow multivariate dynamics and are...
Persistent link: https://www.econbiz.de/10003881566