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Model risk as part of the operational risk is a serious problem for financial institutions. As the pricing of derivatives as well as the computation of the market or credit risk of an institution depend on statistical models the application of a wrong model can lead to a serious over- or...
Persistent link: https://www.econbiz.de/10003784020
This paper investigates the inter-temporal relationship between banking profitability, competition and risk of a sample of Chinese commercial banks by employing several profitability and risk indicators and using Seemingly Unrelated Regression (SUR) under a panel data framework over 2003-2009....
Persistent link: https://www.econbiz.de/10011213274
This paper revisits the performance of frequently used risk forecasting methods, such as the Value-at-Risk models. The aim is to analyze its performance, and mitigate its pitfalls by incorporating conditional variance estimates, as generated by a GARCH model. Notably, this paper tests several...
Persistent link: https://www.econbiz.de/10012925488
The Global Financial Crisis (GFC) changes the relative economic riskiness and risk-adjusted-performance of different asset markets. While the empirical distribution for stock return shifted to the right and became more concentrated around the mean after the GFC, the real estate market...
Persistent link: https://www.econbiz.de/10012488927
The recent experience from the global financial crisis has raised serious doubts about the accuracy of standard risk measures as a tool to quantify extreme downward risks. Standard risk measures are subject to a “model risk” due to the specification and estimation uncertainty. We propose a...
Persistent link: https://www.econbiz.de/10013119621
All companies present risks: some can be controlled, others not. The main risks that a company is confronted with are related to the investments, liquidity, solvency, decrease in the demand for products, insolvency, depreciation of the national currency. It is important to identify, quantify and...
Persistent link: https://www.econbiz.de/10011200164
Under the Basel II regulatory framework non-negligible statistical problems arise when backtesting risk measures. In this setting backtests often become infeasible due to a low number of violations leading to heavy size distortions. According to Escanciano and Olmo (2010, 2011) these problems...
Persistent link: https://www.econbiz.de/10010344866
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