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optimal investment for an insurer to minimize its probability of ruin
optimal investment for an insurer to minimize its probability of ruin

... considers a model in which the aggregate claims are modeled by a Brownian motion with drift, and the risky asset is modeled by a geometric Brownian motion (see also Browne 1997, 1999). The compound Poisson model is the most popular model in risk theory; Hipp and Taksar (2000) use it in modeling the ...
Dynamic Modeling, In-Sample Fitting and Out-of
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... to separately estimate them and be able to clearly present the results. In particular, we would compare whether during a fixed sampling period, the same set of variables would have similar impact on the price and construction dynamics across different cities. In addition, we will conduct OSF and com ...
Forward Reliability Markets: Less Risk, Less Market
Forward Reliability Markets: Less Risk, Less Market

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... investment grade corporate bonds The Fund may also invest in: ▪ Bonds of any quality from any issuer ▪ Derivatives ▪ Contingent Convertible Bonds ▪ Money market instruments ▪ Bank deposits In choosing investments the manager focuses on identifying the best risk-return prospects within the European h ...
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... bonds, thereby bringing down the yield on long-term bonds while keeping short-term rates relatively unchanged. When they buy these short-term bonds then they will ultimately end up with higher short-term rates but lower long-term rates, thereby “twisting” the shape of the yield curve. This program s ...
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... and produces forecasts that can capture observed deviations from standard learning behavior, such as backward induction, over-reaction and time inconsistency. In economies populated by finitely many traders in which there is more than one most accurate trader, depending on risk attitudes, the next p ...
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... |: The union of two sets, as the set of all elements in the first or in the second or in both sets. &: The intersection of two sets, as the set of elements in both sets. \: The difference between two sets, as the set of elements that belong to the first but not to the second set. In the following ex ...
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... Extension of the non-renewable multi period resource model The following simplifying assumptions are made: • utility discount rate and market interest rate are constant over time, • fixed stock of known size non-renewable natural resource, • demand curve is identical at each point in time, • no tax ...
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... 122. The market price of a 20-year, $1,000 bond that pays 9% interest semiannually is $774.31. What is the bond’s yield to maturity? 123. Garvin, Inc.’s bonds have a par value of $1,000. The bonds pay semiannual interest of $40 and mature in five years. a. How much would you pay for Garvin bonds if ...
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IOSR Journal of Computer Engineering (IOSR-JCE)
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... hence, the number of comparisons required to search any element in this structure will be less as compared to any other searching methods including Binary search. Of course, like any other data structure, the search time in Modulo search tree also primarily depends on the sequence of the data values ...
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Lattice model (finance)



For other meanings, see lattice model (disambiguation)In finance, a lattice model [1] is a technique applied to the valuation of derivatives, where, because of path dependence in the payoff, 1) a discretized model is required and 2) Monte Carlo methods fail to account for optimal decisions to terminate the derivative by early exercise. For equity options, a typical example would be pricing an American option, where a decision as to option exercise is required at ""all"" times (any time) before and including maturity. A continuous model, on the other hand, such as Black Scholes, would only allow for the valuation of European options, where exercise is on the option's maturity date. For interest rate derivatives lattices are additionally useful in that they address many of the issues encountered with continuous models, such as pull to par.
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