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The calculation of a fair premium is always a challenging topic in the real world insurance applications. In this paper, a nonlinear premium-reserve (P-R) model is presented and the premium is derived by minimizing a quadratic performance criterion. The reserve is a stochastic equation, which...
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Through financial network analysis we ascertain the existence of important causal behavior among certain financial assets, as inferred by eight different causality methods. Our results contradict the Efficient Market Hypothesis and open new horizons for further investigation and possible...
Persistent link: https://www.econbiz.de/10012966836
In the probabilistic risk aversion approach, risks are presumed as random variables with known probability distributions. However, in some practical cases, for example, due to the absence of historical data, the inherent uncertain characteristic of risks or different subject judgements from the...
Persistent link: https://www.econbiz.de/10012967366
Investors' behavior in the market is highly related to the properties that financial time series capture. Particularly, nowadays the availability of high frequency datasets provides a reliable source for the better understanding of investors' psychology. The main aim of this chapter is to...
Persistent link: https://www.econbiz.de/10012967449
Changes in mortality rates have an impact on the life insurance industry, the financial sector (as a significant proportion of the financial markets is driven by pension funds), the governmental agencies, and the decision and policy makers. Thus, the pricing of financial, pension and insurance...
Persistent link: https://www.econbiz.de/10012902135
This study investigates the debatable success of technical trading rules, through the years, on the trending energy market of crude oil. In particular, the large universe of 7846 trading rules proposed by Sullivan et al. (1999), divided into five families (filter rules, moving averages, support...
Persistent link: https://www.econbiz.de/10012902953
In this paper, a regression modelling setting is introduced to estimate loss development factors, and its multivariate counterpart considers contemporaneous correlation between each regression equation within the triangle with homoscedastic or heteroscedastic errors, respectively. Using now an...
Persistent link: https://www.econbiz.de/10012888860