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We consider an insurance company whose surplus is represented by the classical Cramer-Lundberg process. The company can invest its surplus in a risk-free asset and in a risky asset, governed by the Black-Scholes equation. There is a constraint that the insurance company can only invest in the risky asset at a limited leveraging level; more precisely, when purchasing, the ratio of the investment amount in the risky asset to the surplus level is no more than a; and when short-selling, the proportion of the proceeds from the short-selling to the surplus level is no more than b. The objective is to find an optimal investment policy that minimizes the probability of ruin. The minimal ruin probability as a function of the initial surplus is characterized by a classical solution to the corresponding Hamilton-Jacobi-Bellman (HJB) equation. We study the optimal control policy and its properties. The interrelation between the parameters of the model plays a crucial role in the qualitative behavior of the optimal policy. For example, for some ratios between a and b, quite unusual and at first ostensibly counterintuitive policies may appear, like short-selling a stock with a higher rate of return to earn lower interest, or borrowing at a higher rate to invest in a stock with lower rate of return. This is in sharp contrast with the unrestricted case, first studied in Hipp and Plum, or with the case of no short-selling and no borrowing studied in Azcue and Muler.  相似文献   

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In this paper we consider a risk reserve process where the arrivals (either claims or capital injections) occur according to a Markovian point process. Both claim and capital injection sizes are phase-type distributed and the model allows for possible correlations between these and the inter-claim times. The premium income is modelled by a Markov-modulated Brownian motion which may depend on the underlying phases of the point arrival process. For this risk reserve model we derive a generalised Gerber–Shiu measure that is the joint distribution of the time to ruin, the surplus immediately before ruin, the deficit at ruin, the minimal risk reserve before ruin, and the time until this minimum is attained. Numeral examples illustrate the influence of the parameters on selected marginal distributions.  相似文献   

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Abstract:   This paper determines the market value of dividends in the UK during periods before and after 1997. Previous studies, which use the ex‐dividend day method, tend to provide noisy and potentially biased measures of dividend value. We estimate the value of dividends from the prices of shares that are identical except for their dividend entitlements, and are traded concurrently (within the same hour). We argue that our estimates of dividend value are the cleanest yet available for the UK. Our evidence suggests that ex‐dividend day estimates are biased downwards, but that this bias may be mitigated by the use of robust regression. Dividend values are heterogeneous and are not explained by the tax‐clientele hypothesis.  相似文献   

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Consider an insurer who makes risky investments and hence faces both insurance and financial risks. The insurance business is described by a discrete-time risk model modulated by a stochastic environment that poses systemic and systematic impacts on both the insurance and financial markets. This paper endeavors to quantitatively understand the interplay of the two risks in causing ruin of the insurer. Under the bivariate regular variation framework, we obtain an asymptotic formula to describe the impacts on the insurer's solvency of the two risks and of the stochastic environment.  相似文献   

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  总被引:5,自引:0,他引:5  
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This paper provides an empirical comparison between two versions of a new accounting ratio devised by Kay and Davis (1990a, 1990b) and Kay (1993) and the traditional capital employed (ROCE) ratio. The new measures, ‘added value on inputs employed’ (AVIE) and ‘added value on net output’ (AVNO), are both based on a version of residual income they label ‘added value’, but differ in choice of scaling variable. Empirical evidence is provided in this paper on AVIE and AVNO, including cross-sectional patterns, distributional properties, sensitivity to alternative specifications, and rank-ordering and serial-correlation performance compared with ROCE. AVIE and AVNO differ markedly from ROCE in terms of absolute levels and account for at most half of the latter's cross-sectional variation. On the other hand, the results indicate that both the rank orderings and rank predictions of the different measures are very similar. The distributional properties of the added value ratios are sensitive to choice of scaling variable, suggesting that considerable care has to be exercised in drawing conclusions from the absolute rankings of these measures. The new added value ratios provide signals about firm rankings that differ only to a limited degree from those rendered by the traditional ROCE ratio.  相似文献   

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