Optimal capital accumulation under price uncertainty and costly reversibility

We consider the optimal capital accumulation policy of a competitive firm operating in the presence of decreasing returns to scale, price uncertainty, and costly reversibility of investment. We characterize the optimal accumulation policy and derive the value of the firm by focusing on the marginal investment decision and solving the associated optimal timing problem characterizing the option value of the associated opportunity to either disinvest or acquire a marginal unit of capacity. We also characterize the required exercise premia associated with the optimal policies and demonstrate that hysteresis prevails within this class of accumulation problems as well.     

A goal-seeking approach to capital budgeting

This paper articulates how a goal-seeking model addresses a variation of the capital-budgeting problem. Focused toward technology modernization in the public sector, this multi-criteria optimization model explicitly considers the diverse functions of the organization. In particular, the synergism amongst the functions is modeled as a multiplicative value function. The model is solved by the “constraint reduced feasible-region method”, resulting in a non-convex mathematical program that produces numerical intricacies. Linearization of the criterion (objective) functions reduces such intricacy. An Army-modernization acquisition-study was used to illustrate the proposed model, showing that its non-inferior solutions are remarkably stable. Comparison is also made with other approaches, typically formulated as goal-setting programs. The model highlights how technology acquisitions are affected as the priorities of each organizational function changes.     

构建资本预算决策的净现值扩展分析框架

净现值法是现代财务管理理论中备受推崇的资本预算决策方法,而内部收益率法却更受实务界的欢迎,但任何方法都不能适用于所有的资本预算决策.本文在分析净现值法缺陷的基础上,指出通过对净现值指标加以扩展,建立净现值扩展分析框架,把动态回收期、动态回收期指数和边际增长率都包括在资本预算的财务评估框架中,反映从净现值到边际增长率的自然递进过程,可以提供对资本预算决策财务优越性更有价值的分析.     

Managing risk and uncertainty in complex capital projects

In evaluating capital budgeting decisions, quantitative approaches, such as traditional discounted cash flow modeling and real options valuations, are useful when there is a presumed probability distribution for the future forecasted outcomes or for when there are lower levels of uncertainty. As uncertainty increases and forecasting becomes difficult, the value of financial modeling techniques decreases. Borrowing from the strategic management literature, we argue that it may be useful to employ a qualitative approach to evaluate capital projects when faced with high levels of uncertainty. In order to illustrate our argument, we use a derivative of scenario planning and qualitative real options to evaluate non-quantifiable factors in a project for the National Ignition Facility.     

An investigation of the usage of capital budgeting techniques by small and medium enterprises

Quality & Quantity - This paper examines the extent or usage of capital budgeting techniques in Small and Medium Enterprises (SMEs) and the effect of non-financial factors on the choice of...     

Multibidding game under uncertainty

This paper considers situations in which a group of agents has to decide whether to carry out a given public project or its alternative when agents hold private information. I use the budget-balanced multibidding mechanism (Pérez-Castrillo and Wettstein in Am Econ Rev 5:1577–1587, 2002) according to which the game to be played by participants has only one stage and simple rules that can be applied in a wide range of situations. It is shown that the symmetric equilibria of the multibidding game deliver ex-post efficient outcomes if the number of agents is two, for any underlying symmetric distribution characterizing uncertainty, or is very large.     

Consistent choice under uncertainty

Suppose ex post preferences are defined upon prizes and ex ante preferences are defined upon lotteries. Then the consistent choice of decision rules reigns whenever ex post optimality is equivalent to ex ante optimality. This essay provides a necessary and sufficient condition for consistent choice in terms of revealed preferences. Indeed, ex ante revealed preferences must be induced from ex post revealed preferences in a manner which requires them to satisfy the independence axiom from expected utility theory.     

The effects of uncertainty on investment and the expected long-run capital stock

This paper examines the effects of output price uncertainty on the optimal investment behavior of a risk-neutral competitive firm with a constant returns to scale production function. In the presence of convex costs of adjustment, investment is an increasing function of q, the shadow price of capital. Given the current price of output, we find that increased uncertainty will raise the current rate of investment. Increased uncertainty will also increase the expected long-run capital stock if the price of output is serially uncorrelated. However, if the price of output is serially correlated, then the direction of the effect of increased uncertainty on the expected long-run capital stock depends on the curvature of the marginal adjustment cost function. In this case, we obtain results which are directly opposite of the results in the literature and we locate the flaw in the existing analysis.     

Supplier incentives and resource constraints under uncertainty

Procurement in environments of cost uncertainty and asymmetric information require special arrangements such as the linear incentive contract. Usually the buyer is motivated to make investments that can relieve temporary supplier resource constraints during the procurement. Special problems arise, however, due to interactions between investments in suppliers and the risk-incentive trade-off achieved by the incentive contract. A cost signaling model is proposed to overcome these problems, where a supplier offers an equity share in the profit from the incentive contract to the buyer in return for a priori investment. The equity share signals the supplier's private cost information, and forms the basis for the buyer's investment decision. Under equilibrium the buyer can expect to recover the entire amount provided to the supplier through his or her share of the profit.     

Public education under capital mobility

The paper considers a two-country model of overlapping generations economies with intergenerational transfers motivated by altruism and investment in human capital. We examine in a non-stationary competitive equilibrium the optimal provision of education with and without capital market integration. First, we explore how regimes of education provision—public, private or mixed—arise and how they affect the dynamics of autarkic economies. Second, we study the effects of capital market integration, in equilibrium, on the optimal provision of education. Third, we show that capital market integration enhances government intervention in the provision of public education (to improve the welfare of its constituents) and consider various solutions to such a competition.     

Residential mobility and job changes under uncertainty

This paper empirically investigates households' residential mobility and job change decisions under uncertainty. We allow households' degree of risk aversion to be a confounding factor in the joint decision of residential mobility and job changes. Using panel data to estimate a random effects multinomial probit model of households' joint decision of residential and job mobility, our empirical results show that risk aversion discourages a household from making any changes. Moreover, when compared to single changes in either job or residential locations, risk aversion is more discouraging for joint changes to more central residential locations and less discouraging for joint changes to more distant residential locations. These effects are statistically significant, albeit small in magnitude. Our empirical results demonstrate the uncertainty does play a role in households' job and residential mobility decisions.     

Education choice under uncertainty: Implications for public policy

We analyse how progressive taxation and education subsidies affect schooling decisions when the returns to education are stochastic. We use the theory of real options to solve the problem of education choice in a dynamic stochastic model. We show that education attainment will be an increasing function of the risk associated with education. Furthermore, this result holds regardless of the degree of risk aversion. We also show that progressive taxes will tend to increase education attainment.     

Baseline budgeting for continuous improvement.

This article is designed to introduce the techniques used to convert traditionally maintained department budgets to baseline budgets. This entails identifying key activities, evaluating for value-added, and implementing continuous improvement opportunities. Baseline Budgeting for Continuous Improvement was created as a result of a newly named company president's request to implement zero-based budgeting. The president was frustrated with the mind-set of the organization, namely, "Next year's budget should be 10 to 15 percent more than this year's spending." Zero-based budgeting was not the answer, but combining the principles of activity-based costing and the Just-in-Time philosophy of eliminating waste and continuous improvement did provide a solution to the problem.     

Lender learning and entry under general demand uncertainty

In this paper, we examine the effect of potential entry on learning by a lender when the demand shock has a general distribution. We show that under this type of noise, entry does not lead to any changes in the equilibrium expected signals and therefore, there is no effect on learning by the lender, unlike the case when noise is uniformly distributed. The result holds even when contracts are not observable.     

Forecast combinations under structural break uncertainty

This paper proposes two new weighting schemes that average forecasts based on different estimation windows in order to account for possible structural change. The first scheme weights the forecasts according to the values of reversed ordered CUSUM (ROC) test statistics, while the second weighting method simply assigns heavier weights to forecasts that use more recent information. Simulation results show that, when structural breaks are present, forecasts based on the first weighting scheme outperform those based on a procedure that simply uses ROC tests to choose and forecast from a single post-break estimation window. Combination forecasts based on our second weighting scheme outperform equally weighted combination forecasts. An empirical application based on a NAIRU Phillips curve model for the G7 countries illustrates these findings, and also shows that combination forecasts can outperform the random walk forecasting model.     

Optimal harvesting under resource stock and price uncertainty

We analyze partial and complete depletion harvesting policy under resource stock and price uncertainty and risk neutrality. We state a set of weak conditions under which the optimal policy can be characterized by a single threshold and show that the value can be expressed in a separable form where price volatility affects the value through the risk adjusted growth rate. Both higher price and stock volatility decrease the value when the correlation between the driving Brownian motions is negative. With no correlation the optimal policy is independent of price volatility while higher stock volatility increases the harvesting threshold.     

Sequential decisions under uncertainty and the maximum theorem

For sequential decision problems in which the decision-maker observes a process of state variables and chooses an adapted process of action variables, the paper defines a topology on the space of measures of processes of state variables which ensures the applicability of Berge's maximum theorem to the decision-maker's optimal behavior. The topology controls for the information available to the decision-maker at each decision date. The paper also discusses the implications of the analysis for the dynamic-programming approach to sequential decision-making under uncertainty, and for equilibrium existence proof strategies in sequential-market models and games.