Analyzing firms' strategic investment decisions in a real options' framework

Within the context of investment under uncertainty, the real options literature has led to models that capture primarily the time to wait flexibility of monopolistic corporations' investment decision. In this paper, we propose an approach which relies on barrier options to model production and/or sales delocalization flexibility for multinational enterprises making decisions under exchange rate uncertainty. We then extend the model by introducing game theoretic considerations to show how the information set and the competitive structure of the market may lead firms to act strategically and exercise their delocalization options preemptively at an endogenously fixed exchange rate barrier.     

Relational delegation

We analyze a cheap talk game with partial commitment by the principal. We first treat the principal's commitment power as exogenous and then endogenize it in an infinitely repeated game. We characterize optimal decision making for any commitment power and show when it takes the form of threshold delegation—in which case the agent can make any decision below a threshold—and centralization—in which case the agent has no discretion. For small biases, threshold delegation is optimal for any smooth distribution. Outsourcing can only be optimal if the principal's commitment power is sufficiently small.     

Adaptive planning and uncertainty resolution

The article discusses uncertainty resolution and the approaches to uncertainty in planning. Statically perceived uncertainty may be described more or less explicitly in decision making. Stating various possible outcomes and, possibly, their numerical probabilities may allow quantitative theory to be applied. However, there will be a residual of genuine uncertainty due to the limits set by the available information. By “buying” more information the decision maker can decrease the genuine uncertainty. It is also often possible to reduce uncertainty by waiting. The most effective way is to state the expectations explicitly and to let the various future states of information correspond to alternative decisions in a conditional strategy. This requires a new kind of forecast that refers to the development of information available. A less efficient mode of planning can still take into consideration the fact that revisions are expected. This is flexible planning in a wide sense.     

Liquidity and valuation in an uncertain world

During the 2007–2009 financial crisis there was little or no trading in a variety of financial assets, even though bid and ask prices existed for many of these assets. We develop a model in which this illiquidity arises from uncertainty, and we argue that this new form of illiquidity makes bid and ask prices unsuitable as metrics for establishing “fair value” for these assets. We show how the extreme uncertainty that traders face can be characterized by incomplete preferences over portfolios, and we use Bewley's (2002) model of decision making under uncertainty to derive equilibrium quotes and the nonexistence of trading at these quotes. We then suggest alternatives for valuing assets in illiquid markets.     

A generalized probability framework to model economic agents' decisions under uncertainty

The applications of techniques from statistical (and classical) mechanics to model interesting problems in economics and finance have produced valuable results. The principal movement which has steered this research direction is known under the name of ‘econophysics’. In this paper, we illustrate and advance some of the findings that have been obtained by applying the mathematical formalism of quantum mechanics to model human decision making under ‘uncertainty’ in behavioral economics and finance. Starting from Ellsberg's seminal article, decision making situations have been experimentally verified where the application of Kolmogorovian probability in the formulation of expected utility is problematic. Those probability measures which by necessity must situate themselves in Hilbert space (such as ‘quantum probability’) enable a faithful representation of experimental data. We thus provide an explanation for the effectiveness of the mathematical framework of quantum mechanics in the modeling of human decision making. We want to be explicit though that we are not claiming that decision making has microscopic quantum mechanical features.     

Paradox,accounting values,and intelligible regulation

Expected utility theory, which includes estimating the probabilities of uncertain future outcomes, is the classical model for rational economic decision making, and, by implication, rational valuation and financial reporting regulation. In Wittgensteinian terms it is a ‘hinge’ of the language game in which these practices are embedded. When rendered explicit, however, this ‘hinge’ appears to be formally incoherent. The exploration of this problem has consequences for all of our arguments over the epistemological underpinnings of accounting reports – whether realist, representational, constructivist, or otherwise.Arguably, there are two complementary primitive models that underlie real-world probability estimation. Taken together, they generate a version of Goodman's inductive paradox (other versions of which also arise for non-inductive empirical generalisation). This, in its turn, is related to Kripke's paradox, which arises when we try to give behavioural accounts of rule following, and so of participation in a language game.This paper explicates this type of paradox in the context of commercial decision making, and considers its consequences. The existence of paradoxes should render the system that generates them completely incoherent, but (paradoxically …) they seem to be generated by any attempt to give complete accounts of some of the normative fundamentals which underlie linguistic practice – such as truth-telling, validity and rule-following.Whether or not these paradoxes represent a serious threat to the coherence of the empirical or behavioural sciences, it might be objected that commercial decision making methods and financial regulation rarely aspire to the kind of rigour that these disciplines attempt to achieve. Part of the argument of this paper will be that the intelligibility of commercial language suggests an approach to these paradoxes which is not obvious from more traditional philosophical perspectives.The intentionality of belief renders certain belief claims by participants in a shared language game incorrigible (within the game), in the sense that they can be doubted only by doubting the seriousness or quality of participation. If certain statements about rule following and word meaning have this same quality, then there is a way of avoiding the consequences of Goodman's and Kripke's paradoxes, and of sterilising the probability estimation paradox for any playable commercial language game.     

Environmental nasty surprise, post-normal science, and the troubled role of experts in sustainable democratic environmental decision making

An environmental nasty surprise is an environmental problem such as stratospheric ozone depletion that: catches scientists, technologists, regulators, mass media, and public off-guard; is already extensive by the time it is widely recognized; stems from entrenched technologies; and presents a potentially large-scale, long-term threat to humans or ecosystems. How might the need to minimize the generation of such problems - and address them as effectively as possible when they emerge - help us think more clearly about the role that experts should play in environmental decision making? Using case material on industrial chlorine chemistry, this paper considers the limitations of the theory of post-normal science as a framework for identifying appropriate and inappropriate modes of scientific and technical expertise in environmental decision making. The analysis highlights the need for a model of sustainability expertise that (a) recognizes how prevailing frameworks of environmental decision making allow technologists to actively produce - and exploit - uncertainty and (b) normatively promotes development and deployment of expertise in ways that actively confront these tendencies while making environmental decision making more democratic.     

An evasive topic: theorizing about the hidden economy

This paper reviews some central issues that arise in theorizing about tax evasion decisions and the hidden economy. It starts from the Allingham and Sandmo (J. Public Econ. 1:323–338, 1972) modeling of the tax evasion decision as a choice under uncertainty based on expected utility maximization and risk aversion. It goes on to discuss alternative specifications of the taxpayer’s preferences with particular regard to the explanation of the extensive margin, i.e. the decision on whether or not to engage in tax evasion. It extends the model to the case of variable labor supply with work in both official and black labor markets. It then considers the application of the theory to taxes on wealth and income from capital, indirect tax evasion, and smuggling. It also includes a consideration of general equilibrium effects and of the problems that evasion causes for the theory of optimal income and commodity taxes. It concludes with a brief discussion of the implications of tax evasion for economic policy in the welfare state.     

AN INTRODUCTION TO GAME THEORY AND BUSINESS STRATEGY

Sound managerial decision making often requires “putting yourself behind your rivals' desk.” Assuming rivals are rational and acting in their selfinterest, what decisions are they likely to make and how are they likely to respond to your actions? A complicating factor is that rivals' optimal choices typically will depend on their expectations of what you will do; their expectations in turn depend on their assessments of your expectations about them. This type of circularity or recursive thinking might appear to make the overall problem completely intractable. Yet, this situation is precisely where game theory is most useful. This article introduces the basic elements of game theory within the context of business strategy and shows how managers might use these tools in decision making. This analysis also provides managers with a richer understanding of competition within different market settings. For example, it provides insights into why there is fierce competition in some concentrated industries (such as commercial aircraft), but not in others. Although the authors focus primarily on interactions among rival firms in product markets, these concepts also are useful to managers when dealing with other parties, such as suppliers, employees, or gov‐ernment officials.     

Optimal investment of an insurer with regime-switching and risk constraint

We investigate an optimal investment problem of an insurance company in the presence of risk constraint and regime-switching using a game theoretic approach. A dynamic risk constraint is considered where we constrain the uncertainty aversion to the ‘true’ model for financial risk at a given level. We describe the surplus of an insurance company using a general jump process, namely, a Markov-modulated random measure. The insurance company invests the surplus in a risky financial asset whose dynamics are modeled by a regime-switching geometric Brownian motion. To incorporate model uncertainty, we consider a robust approach, where a family of probability measures is cosidered and the insurance company maximizes the expected utility of terminal wealth in the ‘worst-case’ probability scenario. The optimal investment problem is then formulated as a constrained two-player, zero-sum, stochastic differential game between the insurance company and the market. Different from the other works in the literature, our technique is to transform the problem into a deterministic differential game first, in order to obtain the optimal strategy of the game problem explicitly.     

An Insurance Pricing Game

Understanding data and statistical distributions is a fundamental part of an undergraduate business student's education. The insurance pricing game presented here gives the students a unique way to apply statistical analysis in the classroom. The game requires decision making about risk with limited information. Specifically, the students must decide what “premium” to charge the members of a hypothetical risk pool. The game provides teachers with a discussion platform for numerous aspects of insurer risk pooling.     

基于行为公司财务的上市公司异常财务政策分析

上市公司进行财务决策时表现出许多异常行为,传统公司财务理论往往对此无法做出圆满解释。本文基于新崛起的行为公司财务理论,从一个新的视角进行了分析,结果发现：资本市场上投资者的非理性行为以及企业管理者自身的非理性行为都会导致企业财务政策的扭曲。     

一种新的边缘经济理论--量子博弈论

博弈论作为在应用数学中具有重要应用价值的一个分支,在信息科学、进化生物学、社会科学等诸多学科中有着广泛的应用.将量子理论方法引入经典博弈中的决策过程,就形成了一个新兴的科学领域--量子博弈.经典博弈中存在的一些困境和悖论,在量子化后得以解决,而且在量子的体系下博弈展现出许多新的特征.     

The precautionary principle: an 'unprincipled' approach to biotechnology regulation

A tenet of administrative law, particularly in the United States, is that regulators must base their decisions on 'intelligible principles' to provide consistency, predictability, transparency and accountability. The precautionary principle, which purports to provide a new decision rule for making environmental decisions under conditions of uncertainty, fails to provide such an intelligible principle for making decisions. The precautionary principle is ambiguous on the use of the two major criteria currently used to make environmental decisions - significant risk and cost-benefit balancing - yet offers no new specific decision criteria in their place. The second fundamental problem with the precautionary principle is that it is based on the unsubstantiated premise that the current regulatory system is insufficiently protective. The current system already tends to err on the side of the safety, as it should, but the relevant question is just how precautious should we be? As illustrated by the example of genetically modified organisms, the prudent level of precaution depends on factors such as the magnitude, distribution and uncertainty of risks, the extent of exposure, and the trade-offs and lost benefits in foregoing the risk. These are precisely the factors that are considered under the current risk-based approach, which the precautionary principle seeks to replace.     

基于实物期权的金融企业共享服务转型

用实物期权方法探讨金融企业最优组织模式,发现金融企业共享服务的最优槛值是金融企业不确定性的递增函数。触及槛值后,不确定性的增加会引致更高的共享服务生产比例。本文将实物期权概念引入不确定环境中金融服务组织及其转型的理论框架,将服务组织视为给金融企业带来获取未来转型机会优先渠道的战略性实物期权,提出对共享服务期权进行分类的方法,并引入对不同共享服务转型进行估值的决策方法论。     

Comparing Alternative Hedge Accounting Standards: Shareholders' Perspective

We study the economic consequences of alternative hedge accounting rules in terms of managerial hedging decisions and wealth effects for shareholders. The rules we consider include the fair-value and cash-flow hedge accounting methods prescribed by the recent SFAS No. 133. We illustrate that the accounting method used influences the manager's hedge decision. We show that under no-hedge accounting, the hedge choice is different from the optimal economic hedge the firm would make under symmetric and public information. However, under a certain definition of fair-value hedge accounting, the hedging decision preserves the optimal economic hedge. We then demonstrate that long-term and future shareholders prefer a certain definition of fair-value hedge accounting to no-hedge accounting, while short-term shareholders prefer either approach depending on risk preferences and the level of uncertainty. We speculate about circumstances in which a manager would choose not to adopt fair-value hedge accounting when he has the option not to do so.     

Do organizations adopt sophisticated capital budgeting practices to deal with uncertainty in the investment decision?: A research note

This study examines the impact of uncertainty on the sophistication of capital budgeting practices. While the theoretical applications of sophisticated capital budgeting practices (defined as the use of real option reasoning and/or game theory decision rules) have been well documented, empirical evidence on the factors that affect the importance and use of these sophisticated capital budgeting practices is scarce. I investigate the relation between specific uncertainties and sophisticated capital budgeting practices in 189 Dutch organizations. The empirical results show that sophisticated capital budgeting involves the use of multiple tools and procedures (such as Monte Carlo simulations, certainty equivalents, Game Theory decision rules and Real Option Reasoning). An increase in financial uncertainty is associated with the use and importance of sophisticated capital budgeting practices. Finally, size and industry are also related to the use and importance of sophisticated capital budgeting practices.