Description: One of the most important problems in Finance is the valuation of financial securities written on underlying assets whose prices are subject to uncertainty. This paper presents a technique to estimate the unknown stochastic volatilities by solving the inverse problem associated with the parabolic partial differential equation governing risk neutral derivative security prices. This technique can be applied in a very general multi-factor setting and numerical examples are provided.

Description: A theoretical study of the interrelationship between the financial and insurance risk markets.

Description: A study of the effect of random interest rates on life insurance programs and on annuities both certain and non-certain. This is done under several assumptions on the stochastic structure of the interest rates.

Description: This paper introduces a new direction for evaluating numerically survival probabilities pointed out by H. Seal in his book ‘Survival Probabilities: The goal of Risk Theory’. Some of special cases can be considered as a weighted Poisson process with an infinitely divisible mixing distribution. This property is well known for the negative binomial case [gamma mixing distribution].

Description: In a paper entitled ‘Using Cash Flows to Allocate Investment Income’ [ARCH 1979.1] reference was made to the conversion of investment rates [and capital gain and loss rates] from rates based upon periods of original contribution to rates based upon dollars of original contribution. Thus arose the topic of this note.

Description: Financial Accounting Standard Number 91 deals with the calculation of investment income and amortized cost for mortgage backed securities, as well as whole mortgages and callable bonds. The method described in this paper uses a Taylor series to eliminate the storage of all past cash flows, while still providing an accurate FAS 91 adjustment. From Actuarial Research Clearing House 1993, VOL. 3.

Description: This is the agenda for the 28th Annual Actuarial Research Conference held in Madison, WI August 19-21, 1993. From ACTUARIAL RESEARCH CLEARING HOUSE, 1994 VOL. 1.

Description: The amount of 1 [i.e., the amount that $ 1 is worth after 1 year] for an account earning a nominal interest r compounded n times annually is Pn[r,t], where t = [t1, . . . ,tn]. Note that Pn[r,t] is a polynomial in r of degree n. Now suppose that the n compounding periods have lengths T1, . . . ,Tn chosen at random. What can we say about Pn[r , T] , where T=[T1, . . . , Tn]? This depends of course on what is meant by choosing random lengths and we will consider two different natural possibilities that give rise to different answers to this question.

Description: Given a financial transaction we are often interested in the number of internal rates of return [yield rates] and their location. From an actuarial point of view, the fundamental question is to identify those transactions with a single yield rate, or a single rate in some interval such as the positive reals. In this paper we are concerned with this counting problem. We survey various results concerning this problem, and provide a unifying approach together with some new insights.

Description: This is the abstract of the paper Quasi-Monte Carlo Methods in Numerical Finance. This paper introduces and illustrates a new version of the Monte Carl method that has attractive properties for the numerical valuation of derivatives. The traditional Monte Carlo method has proven to be a powerful and flexible tool for many types of derivatives calculations.