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Data Analysis for Risk Management – Economics, Finance and Business
Materialtyp:
ArtikelUtgivningsinformation: MDPI - Multidisciplinary Digital Publishing Institute 2024Beskrivning: 1 electronic resource (264 p.)Innehållstyp: - text
- computer
- online resource
- 9783725814152
- 9783725814169
- Economics, Finance, Business and Management
- Finance and accounting
- Bayesian approach
- CEE
- DCC
- DCoVaR
- EGARCH
- ESG
- GARCH
- Gini coefficient
- MES
- Poisson process
- Poland
- ROC curve
- SRISK
- accounting systems
- accuracy ratio
- bancassurance
- banking sector
- bankruptcy risk
- business cycle
- central and eastern European countries
- copula
- credit risk models
- credit scorecard development
- credit scoring
- currency misalignment
- default
- doubly stochastic assumption
- emerging markets
- exchange rate volatility
- finance
- financial stability
- frontier markets
- insurance
- leverage
- liquidity crisis
- neural network
- new definition of default
- open source
- parametric models
- public hospitals
- public management
- quantile regression
- quantitative methods
- risk factors
- risk management
- stakeholders' engagement
- stock exchange
- survey research
- systemic illiquidity
- systemic risk
- tail dependence
- value at risk
- volatility
Inga fysiska exemplar för denna post
Open Access Unrestricted online access star
This reprint concerns methods of data analysis for risk management in economics, finance, and business. The presented papers contain research on data analysis methods, including classical statistical methods, and machine learning methods that have emerged from statistics and are being effectively applied using high-speed computers, considering the availability of big data.
Creative Commons Licence cc by-nc-nd cc https://creativecommons.org/licenses/by-nc-nd/4.0/
eng
Freely available e-book