Binomial option pricing with stochastic parameters: A beta distribution approach

This research extends the binomial option-pricing model of Cox, Ross, and Rubinstein (1979) and Rendleman and Barter (1979) to the case where the up and down percentage changes of stock prices are stochastic. Assuming stochastic parameters in the discrete-time binomial option pricing is analogous to assuming stochastic volatility in the continuous-time option pricing. By assuming that the up and down parameters are independent random variables following beta distributions, we are able to derive a closed-form solution to this stochastic discrete-time option pricing. We also derive an upper and a lower bounds of the option price.     

Financial econometrics,mathematics, statistics,and financial technology: an overall view

Review of Quantitative Finance and Accounting - Based upon my experience in research, teaching, writing textbooks, and editing handbooks and journals, this review paper discusses how financial...     

Inference on vertical contracts between manufacturers and retailers allowing for nonlinear pricing and resale price maintenance

We present a model of vertical contracts between manufacturers and retailers with nonlinear pricing strategies. Using home‐scan data on bottled water produced by manufacturers and sold by retail chains in France, we estimate a structural demand and supply model allowing for two‐part tariff contracts between manufacturers and retailers. Using price‐cost margins recovered from estimates of demand parameters, we select the best supply model by performing nonnested tests, and find that manufacturers use two‐part tariff contracts with resale price maintenance. We then perform counterfactual policy simulations that restrict the use of these vertical contracts and assess welfare effects under alternative scenarios.     

Developers, Herding, and Overbuilding

Recent years have seen the most pronounced turbulence that real estate markets have ever experienced. There have been wild swings in prices, a wave of foreclosures, countless failed investments, and massive overbuilding. This paper will be primarily concerned with overbuilding. Of the many forces that may have combined to produce this situation, the paper will focus on rational overbuilding carried out by developers whose decisions are made under uncertainty. We will establish the possibility of both statistical and reputation-based herding. The former refers to developers learning from each other, and so tending to copy. The latter refers to developers copying each other in order to reduce the probability of a loss of reputation that can result from making an unconventional choice.