perc.tamu.edu 1 hen the economy expands too quickly, the Federal Reserve may take steps to slow economic growth by raising short-term interest rates or selling Treasury bonds. Such measures, known as tight monetary policy, reduce the demand for money and curb inflation. However, if restrictive monetary policy actions are unanticipated, they may induce an asset shift from stocks to credit instru...

We study the optimal control of a firm with two capacitated manufacturing plants situated in two distinct geographical regions. Demands from each region are mostly satisfied by the local plant. However, if necessary, some of the newly arrived demands can be designated to be served by the other, more remote, plant. The sources of the above virtual lateral transshipments, unlike the ones involved...

The impact of fast moving items, modeled by auto-regressive moving average (ARMA) type processes, on the bullwhip effect is well known. However, slow moving items that can be modeled using integer ARMA processes have received little attention. Herein, we measure the impact of bullwhip effect under a first order integer auto-regressive, INAR(1), demand process. We consider a simple two-stage sup...

A make-to-order environment requires flexibility in the supply chain to facilitate fast response. Timely supply deliveries can be achieved in a cost-effective manner by having a portfolio of suppliers, or a portfolio of contracts with a single supplier, with different lead times and associated costs. In this paper we address the inventory management of such a system and evaluate the savings ass...

W study how industry clockspeed, internal firm factors, such as product development, production, and inventory costs, and competitive factors determine a firm’s optimal new-product introduction timing and product-quality decisions. We explicitly model market demand uncertainty, a firm’s internal cost structure, and competition, using an infinite-horizon Markov decision process. Based on a large...

We study the effects of monetary policy surprises on stock returns under low and high uncertainty in U.S. using Panel Smooth Transition Regression (PSTR) model to identify regimes. Monetary are unexpected changes Federal Funds Rate (FFR) Open Market Committee (FOMC) announcement days, where mimicking portfolio method is used obtain a regular time series with since announcements occur an irregul...

This research develops then merges two separate models to simulate electric vehicle diffusion through recreation of the Boston metropolitan statistical area vehicle market place. The first model is a mixed (random parameters) logistic regression applied to data from the US Department of Transportation's 2009 National Household Travel Survey. The second, agent-based model simulates social networ...

From the 1994 bailout policies to the 2015 Shanghai-Hong Kong Stock Connect, the policy impact on the Chinese stock market has changed over time. By May 2015, global investors can directly invest in a more legalized and normalized Chinese stock market, whereas they are still concerned about the policy-oriented market and its attendant risks. In this study, we employ the family of GARCH models t...