Strategy

Entrepreneurs often face undiversifiable idiosyncratic risks from their business investments. We extend the standard real options approach to an incomplete markets environment and analyze the joint decisions of business investments, consumption/savings, and portfolio selection. For a lumpsum investment payoff and an agent with a sufficiently strong precautionary savings motive, an increase in volatility can accelerate investment, contrary to the standard real options analysis.

We propose an analytically tractable continuous-time model of experimentation in which a risk-averse entrepreneur cannot fully diversify the idiosyncratic risk from his business investment. He makes consumption/savings and business exit decisions jointly, while learning about the unknown quality of the project over time.

We integrate the financial architecture into the theory of investment by building on two strands of literature: irreversible investment and debt pricing/capital structure. We extend the real options approach to investment, pioneered by Michael J. Brennan and Eduardo S. Schwartz (1985) and Robert McDonald and Daniel Siegel (1986), to allow for capital structure decisions under strategic debt service. We also draw insights from corporate debt pricing/capital structure literature, which focuses on leverage and security pricing after investment has already been made (Robert C.

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In a decentralized supply chain, with long-term competition between independent retailers facing random demands and buying from a common supplier, how should wholesale and retail prices be specified in an attempt to maximize supply-chain-wide profits? We show what types of coordination mechanisms allow the decentralized supply chain to generate aggregate expected profits equal to the optimal profits in a centralized system, and how the parameters of these (perfect) coordination schemes can be determined.

We consider a family of N items that are produced in, or obtained from, the same production facility. Demands are deterministic for each item and each period within a given horizon of T periods. If in a given period an order is placed, setup costs are incurred. The aggregate order size is constrained by a capacity limit. The objective is to find a lot-sizing strategy that satisfies the demands for all items over the entire horizon without backlogging, and that minimizes the sum of inventory-carrying costs, fixed-order costs, and variable-order costs.

Purpose — The purpose of this paper is to develop a comprehensive model that combines brand knowledge and brand relationship perspectives on brands and shows how knowledge and relationships affect current and future purchases.

Design/methodology/approach — The paper uses structural equation modeling to test the significance of the overall model and the specified paths.

The Tuscan Lifestyles case (Mason, 2003) offers a simple twist on the standard view of how to value a newly acquired customer, highlighting how standard retention-based approaches to the calculation of expected customer lifetime value (CLV) are not applicable in a noncontractual setting.

This paper proposes a simple back testing procedure that is shown to dramatically improve a panel data model's ability to produce out of sample forecasts. Here the procedure is used to forecast mutual fund alphas. Using monthly data with an OLS model it has been difficult to consistently predict which portfolio managers will produce above market returns for their investors. This paper provides empirical evidence that sorting on the estimated alphas populates the top and bottom deciles not with the best and worst funds, but with those having the greatest estimation error.