Ronald Gebhardtsbauer

INS 410 – Compound Interest and Annuities--Certain

Compound interest and annuity functions; equations of value; determination of yield rates; construction of tables.

INS 411 – Life Contingencies I

A study of the mathematical theory of life contingencies; single-life functions and their applications.

INS 412 – Life Contingencies II

Joint-life and survivor-life functions, population life tables, and multiple decrement theory, with applications to disability and retirement problems.

INS 494H – Research Project (H)

Supervised student activities on research projects identified on an individual or small-group basis.

INS 496 – Independent Studies

Creative Projects, including research and design, which are supervised on an individual basis and which fall outside the scope of formal courses.

INS 497B – Financial Models for Actuarial Science (B)

This course covers material in the Society of Actuaries Actuarial Models - FE exam, such as interest rate models, valuation of derivative securities, and risk management techniques, and particularly their application to insurance, pensions, and investment

R M 297C – Intro to Actuarial Science and Probability Theory (C)

A review of probability tools used in the assessment of risk.

R M 410 – Financial Mathematics for Actuaries

Compound interest and annuity functions; life annuities; equations of value; determination of yield rates; bonds; introduction to derivatives.

R M 411 – Actuarial Mathematics I

A study of the mathematical theory of life contingencies; single-life functions and their applications.

R M 412 – Actuarial Mathematics II

Joint-life and survivor-life functions, population life tables, and multiple decrement theory, with applications to disability and retirement problems.

R M 415 – Modeling for Actuarial Science

Modeling for Actuarial Science, including models of interest rates, used to price liabilities, and models of stock prices and options used to price Employee Options and Cash Balance Accounts.

R M 494H – Honors Research Project (H)

Supervised honor student research projects identified on an individual or small-group basis.

R M 497C – Probability and Actuarial Science (C)

A review of probability tools used in the assessment of risk.

RM 214 – Review Prob Theory

This course introduces students to actuarial science topics and the actuarial profession. To become an actuary, individuals must pass a series of professional examinations that accredit them as professionals in the field. This course provides an introduction to the material on the earlier exams such as applications of probability theory to insurance, financial mathematics (compound interest and annuities), and provides instruction on spreadsheets, so that students can perform their homework using them. Topics covered include applications of the following to insurance and actuarial science: conditional probability, independence, combinatorial principles, Bayes Theorem, and random variables. Specific probability distributions used include the binomial, uniform, Poisson, geometric, negative binomial, hyper-geometric, and multinomial discrete distributions, as well as the exponential, normal, uniform, and gamma continuous distributions. Expectations, distribution parameters, means, medians, modes, variances, skewness, and moment generating functions are also covered. The more advanced topics of joint, marginal, and conditional distributions are used, along with functions and transformations of random variables. The application of probability theory to risk management is addressed. Throughout the course, sample problems will be reviewed to help prepare students for the actuarial professional exams.

RM 297 – Special Topics

Formal courses given infrequently to explore, in depth, a comparatively narrow subject which may be topical or of special interest.

RM 410 – Fin Math for Actsc

RM 410 – FIN MATH FOR ACTSC

Compound interest and annuity functions; life annuities; equations of value; determination of yield rates; bonds; introduction to derivatives. R M 410 Financial Mathematics for Actuaries (3) The first section of the course focuses on Interest Theory, including compound interest, annuities- certain, and life annuities; equations of value; loans and their valuation; the pricing of bonds (with and without default), determining their yields to maturity and outstanding balances; determination of yield rates, spot rates, forward rates, and At-Par rates; duration of an asset or liability, and immunization of interest rate risk. The second section introduces students to derivatives, including the description, payoffs, and profits of forwards, futures, puts, calls, and swaps, and how to use them to manage a company's or investor's financial risks. The course helps prepare actuarial students for the international actuarial exam FM (Financial Mathematics).

RM 415 – Modeling for Actsc

Modeling for Actuarial Science provides detailed actuary principles dealing with models of interest rates used to price liabilities, and models of stock prices and options used to price employee options and cash balance accounts. The first section of the course focuses on discrete models, such as binomial option pricing, which can be used for pricing employee stock options. The second section covers put-call parity, the effects of style, maturity, and strike price on option prices, generalized parity, and exchange options. The third section looks at continuous models such as: 1) the Black-Scholes formula and it's applications to options on stocks, currencies, futures, and market-making, 2) Delta-Hedging and the understanding of and pricing of exotic options (Asian, Barrier, Compound, Gap, and Exchange Options), 3) understanding lognormal distributions, Monte Carlo testing, Brownian motion, Ito's Lemma, historic and implied volatility, Sharpe ratios, interest rate models, and the application of these to liabilities. The course assists in preparing students for the international actuarial exam MFE (Models in Life Contingencies).

RM 494H – Research Project (H)

Supervised honor student research projects identified on an individual or small-group basis.