Inefficiency of credible strategies in oligopolistic resource markets with uncertainty

The implications of different information patterns for firms in oligopolistic resource markets are considered. The traditional open-loop Nash equilibrium with static information sets is one of many possible Nash equilibria and is not suitable for stochastic environments. When shocks to resource growth are serially uncorrelated, there are no gains from conditioning the harvest on past stock levels and the feedback or credible Nash equilibrium is the appropriate Nash equilibrium concept. This credible equilibrium assumes that firms have knowledge of current stocks of reserves, which typically leads to more rapid extraction of the resource and possibly extinction. Since the open-loop Nash equilibrium is efficient when demand is iso-elastic and extraction costs are zero, it is clear that an increase in information can be detrimental to firms in the industry.     

Value investing anomalies in the European stock market: Multiple Value, Consistent Earner, and Recognized Value

Empirical academic studies have consistently found that value stocks outperform glamour stocks and the market as a whole. This article extends prevailing research on existing value anomalies. It evaluates simple value strategies for the European stock market (compared to many other studies that test market data on a country-by-country basis) as well as sophisticated multi-dimensional value strategies that also include capital return variables (Consistent Earner Strategy) and momentum factors (Recognized Value Strategy), the latter reconciling intermediate horizon momentum and long-term reversals of behavioral finance theories. It can be shown that these “enhanced” value strategies can produce superior returns compared to returns of the whole market or “simple” value strategies without capturing higher risks applying traditional risk measures.     

Uncertain horizon and stability: Analysis in an optimal growth model

In a one-sector optimal growth model with uncertainty about production optimal capital stocks converge in distribution to a stochastic modified golden rule [see, for example Brock and Mirman (1972, 1973)]. We show that such a result cannot be obtained, in general, if in addition to the random one-period shocks to production there is also a lasting shock to the production function at some random date in the future; however, the conditional optimal capital stocks ‘bunch together’ over time, i.e., a turnpike result for optimal programs is proved.     

Numerical solution of dynamic equilibrium models under Poisson uncertainty

We propose a simple and powerful numerical algorithm to compute the transition process in continuous-time dynamic equilibrium models with rare events. In this paper we transform the dynamic system of stochastic differential equations into a system of functional differential equations of the retarded type. We apply the Waveform Relaxation algorithm, i.e., we provide a guess of the policy function and solve the resulting system of (deterministic) ordinary differential equations by standard techniques. For parametric restrictions, analytical solutions to the stochastic growth model and a novel solution to Lucas' endogenous growth model under Poisson uncertainty are used to compute the exact numerical error. We show how (potential) catastrophic events such as rare natural disasters substantially affect the economic decisions of households.     

On Lipschitz continuity of the iterated function system in a stochastic optimal growth model

This paper provides qualitative properties of the iterated function system (IFS) generated by the optimal policy function for a class of stochastic one-sector optimal growth models. We obtain, explicitly in terms of the primitives of the model (i) a compact interval (not including the zero stock) in which the support of the invariant distribution of output must lie, and (ii) a Lipschitz property of the iterated function system on this interval. As applications, we are able to present parameter configurations under which (a) the support of the invariant distribution of the IFS is a generalized Cantor set, and (b) the invariant distribution is singular.     

Stochastic optimal growth with bounded or unbounded utility and with bounded or unbounded shocks

This paper studies a one-sector stochastic optimal growth model with i.i.d. productivity shocks in which utility is allowed to be bounded or unbounded, the shocks are allowed to be bounded or unbounded, and the production function is not required to satisfy the Inada conditions at zero and infinity. Our main results are three-fold. First, we confirm the Euler equation as well as the existence of a continuous optimal policy function under a minimal set of assumptions. Second, we establish the existence of an invariant distribution under quite general assumptions. Third, we show that the density of optimal output converges to a unique invariant density independently of initial output under the assumption that the shock distribution has a density whose support is an interval, bounded or unbounded. In addition, we provide existence and stability results for general one-dimensional Markov processes.     

An extension of the monocentric urban spatial equilibrium model to a multicenter setting: The case of the two-center city

Firms in a monocentric city conforming in substance to the “new urban economics” produce an export commodity under agglomeration economies and employ homogeneous labor and capital. Workers reside about the CBD in decreasing densities with distance. A developer establishes a second export production center within the city's residential area. Conditions for economic viability and growth of the subcenter are examined, and its impacts on short-run and long-run city location patterns are discussed. A limiting condition on subcenter employment size is provided.     

Subprime lending and the housing bubble: Tail wags dog?

The cause of the “housing bubble” associated with the sharp rise and then drop in home prices over the period 1998–2008 has been the focus of significant policy and research attention. The dramatic increase in subprime lending during this period has been broadly blamed for these market dynamics. In this paper we empirically investigate the validity of this hypothesis vs. several other alternative explanations. A model of house price dynamics over the period 1998–2006 is specified and estimated using a cross-sectional time-series data base across 20 metropolitan areas over the period 1998–2006. Results suggest that prior to early 2004, economic fundamentals provide the primary explanation for house price dynamics. Subprime credit activity does not seem to have had much impact on subsequent house price returns at any time during the observation period, although there is strong evidence of a price-boosting effect by investor loans. However, we do find strong evidence that a credit regime shift took place in late 2003, as the GSE’s were displaced in the market by private issuers of new mortgage products. Market fundamentals became insignificant in affecting house price returns, and the price-momentum conditions characteristic of a “bubble” were created. Thus, rather than causing the run-up in house prices, the subprime market may well have been a joint product, along with house price increases, (i.e., the “tail”) of the changing institutional, political, and regulatory environment characteristic of the period after late 2003 (the “dog”).     

The optimal consumption function in a Brownian model of accumulation Part A: The consumption function as solution of a boundary value problem

We consider a neo-classical model of optimal economic growth with c.r.r.a. utility in which the traditional deterministic trends representing population growth, technological progress, depreciation and impatience are replaced by Brownian motions with drift. When transformed to ‘intensive’ units, this is equivalent to a stochastic model of optimal saving with diminishing returns to capital. For the intensive model, we give sufficient conditions for optimality of a consumption plan (open-loop control) comprising a finite welfare condition, a martingale condition for shadow prices and a transversality condition as t→∞. We then replace these by conditions for optimality of a plan generated by a consumption function (closed-loop control), i.e. a function expressing log-consumption as a time-invariant, deterministic function of log-capital . Making use of the exponential martingale formula we replace the martingale condition by a non-linear, non-autonomous second-order o.d.e. which an optimal consumption function must satisfy; this has the form , where . Economic considerations suggest certain limiting values which and should satisfy as , thus defining a two-point boundary value problem (b.v.p.) — or rather, a family of problems, depending on the values of parameters. We prove two theorems showing that a consumption function which solves the appropriate b.v.p. generates an optimal plan. Proofs that a unique solution of each b.v.p. exists are given in a separate paper (Part B).     

Seventh EACES Conference: Globalisation and Economic Governance, Forli, 6–8 June 2002: A selection of summaries

In the last decade, outward foreign direct investment (FDI) from transition countries (TCs) has emerged. The new multinational corporations (MNCs) from TCs are quite different from the former “red multinationals” (1), we describe the emergence of these new MNCs (2) and then provide econometric testing of the relationship between outward FDI and the level of economic development in home country that fits with TCs (3).     

Pure and randomized equilibria in the stochastic von Neumann–Gale model

The paper examines the problem of the existence of equilibrium for the stochastic analogue of the von Neumann–Gale model of economic growth. The mathematical framework of the model is a theory of set-valued random dynamical systems defined by positive stochastic operators with certain properties of convexity and homogeneity. Existence theorems for equilibria in such systems may be regarded as generalizations of the Perron–Frobenius theorem on eigenvalues and eigenvectors of positive matrices. The known results of this kind are obtained under rather restrictive assumptions. We show that these assumptions can be substantially relaxed if one allows for randomization. The main result of the paper is an existence theorem for randomized equilibria. Some special cases (models defined by positive matrices) are considered in which the existence of pure equilibria can be established.     

Does age structure forecast economic growth?

Increases in the proportion of the working age population can yield a “demographic dividend” that enhances the rate of economic growth. We estimate the parameters of an economic growth model using a cross section of countries over the period 1960 to 1980, and investigate whether the inclusion of age structure improves the model's forecasts for the period 1980 to 2000. We find that including the age structure improves the forecast, although there is evidence of parameter instability between periods with an unexplained growth slowdown in the second period. We use the model to generate growth forecasts for the period 2000 to 2020.     

Valuation and martingale properties of shadow prices: An exposition

Concepts of asset valuation based on the martingale properties of shadow (or marginal utility) prices in continuous-time, infinite-horizon stochastic models of optimal saving and portfolio choice are reviewed and compared with their antecedents in static or deterministic economic theory. Applications of shadow pricing to valuation are described, including a new derivation of the Black–Scholes formula and a generalised net present value formula for valuing an indivisible project yielding a random income. Some new results are presented concerning (i) the characterisation of an optimum in a model of saving with an exogenous random income and (ii) the use of random time transforms to replace local by true martingales in the martingale and transversality conditions for optimal saving and portfolio choice.     

Land use in a circular city: Some numerical results

In a previous paper (“Land Use in a Circular City”, Journal of Economic Theory, 1974), I considered efficient land use and travel patterns in a circular city consisting of a homogeneous economic activity and a network of radial and circumferential roads. My analysis assumed that under decentralized optimum conditions, the price of traveling circumferentially through a radian would increase with distance from the city center. Under this and a second pricing assumption, an optimum would involve either restricting inward trip penetration or providing travelers with an inner ring road. This paper provides numerical illustrations of the optimum when trip penetration is restricted. The results suggest that the underlying pricing assumptions are likely not valid.     

On the forecasting performance of a small-scale DSGE model

Dynamic stochastic general equilibrium (DSGE) models have recently become standard tools for policy analysis. Nevertheless, their forecasting properties have still barely been explored. In this article, we address this problem by examining the quality of forecasts of the key U.S. economic variables: the three-month Treasury bill yield, the GDP growth rate and GDP price index inflation, from a small-size DSGE model, trivariate vector autoregression (VAR) models and the Philadelphia Fed Survey of Professional Forecasters (SPF). The ex post forecast errors are evaluated on the basis of the data from the period 1994–2006. We apply the Philadelphia Fed “Real-Time Data Set for Macroeconomists” to ensure that the data used in estimating the DSGE and VAR models was comparable to the information available to the SPF.Overall, the results are mixed. When comparing the root mean squared errors for some forecast horizons, it appears that the DSGE model outperforms the other methods in forecasting the GDP growth rate. However, this characteristic turned out to be statistically insignificant. Most of the SPF's forecasts of GDP price index inflation and the short-term interest rate are better than those from the DSGE and VAR models.     

Explaining the democracy deficit in the Arab world

This paper strongly corroborates the widely held claim about the democracy and freedom “deficit” in the Arab world and asks the natural question as to why has the Arab world experienced such a deficit. The estimation results of an extended “modernity” model of democracy (measured by the Polity IV global index) suggest that after controlling for a host of economic, social and historical variables a negative and highly significant Arab dummy effect remains. This suggests, therefore, that the modernization theory does not fully account for the democracy deficit of the Arab world. Controlling for the modernity and other determinants, oil is negatively associated with democracy while the net effect of regional conflicts in the Arab world was negative, suggesting that conflicts in the Arab world promote authoritarianism in contrast with other regions where regional wars have been associated with democratic transitions. Moreover, and very significantly the Arab dummy was no longer significant as a stand alone effect though it remains significant when interacted with regional wars.     

Risk aversion and the elasticity of substitution in general dynamic portfolio theory: Consistent planning by forward looking, expected utility maximizing investors

Using the measure of risk aversion suggested by Kihlstrom and Mirman [Kihlstrom, R., Mirman, L., 1974. Risk aversion with many commodities. Journal of Economic Theory 8, 361–388; Kihlstrom, R., Mirman, L., 1981. Constant, increasing and decreasing risk aversion with many commodities. Review of Economic Studies 48, 271–280], we propose a dynamic consumption-savings–portfolio choice model in which the consumer-investor maximizes the expected value of a non-additively separable utility function of current and future consumption. Preferences for consumption streams are CES and the elasticity of substitution can be chosen independently of the risk aversion measure. The additively separable case is a special case. Because choices are not dynamically consistent, we follow the “consistent planning” approach of Strotz [Strotz, R., 1956. Myopia and inconsistency in dynamic utility maximization. Review of Economic Studies 23, 165–180] and also interpret our analysis from the game theoretic perspective taken by Peleg and Yaari [Peleg, B., Yaari, M., 1973. On the existence of a consistent course of action when tastes are changing. Review of Economic Studies 40, 391–401]. The equilibrium of the Lucas asset pricing model with i.i.d. consumption growth is obtained and the equity premium is shown to depend on the elasticity of substitution as well as the risk aversion measure. The nature of the dependence is examined. Our results are contrasted with those of the non-expected utility recursive approach of Epstein–Zin and Weil.     

How can investors build a better portfolio in small open economies? Evidence from Asia’s Four Little Dragons

This study investigates the role of hedging and portfolio design among stocks, exchange rates, and gold in small open economies (SOEs) from 4 January 2000 to 31 March 2020. We adopt the trivariate dynamic conditional correlation-fractionally integrated asymmetric power ARCH model and unconditional quantile regression model, and our findings show that the hedging role of the U.S. dollar (USD) and gold against stocks differs under regular and extreme market conditions. The USD can act as a powerful hedge asset for stocks in regular market periods. Moreover, during the global financial crisis and COVID-19 outbreak, the safe-haven effect of gold becomes stronger for almost all stocks, whereas the USD can serve as a strong safe haven against stock markets of Korea, Taiwan, and Singapore when stock returns are extremely low. In terms of portfolio designing, we find that adding the USD and gold to portfolios improves their hedging effectiveness, and the optimally weighted stock-USD-gold portfolio is the best portfolio strategy, irrespective of referring to return or risk.     

Re-examining risk premiums in the Fama–French model: The role of investor sentiment

This paper reconstructs the Fama–French three-factor (F–F) model as a panel smooth transition regression (PSTR) framework to investigate the differentiated effects of investor sentiment proxies-the volatility index (VIX), credit default swap (CDS), and TED spread-on the three risk premiums. Sample period spans from 2003: 1Q to 2013: 4Q. Sample objects are 58 semiconductor companies listed on Taiwan Security Exchange Corporation. The empirical results report that stock returns display a nonlinear path, and the three risk premiums are time-varying, depending on different proxies of investor sentiment in different regimes. Market premiums fall as investors in stock markets show extreme optimism or extreme pessimism. Except in rare situations, the size premium is significant and decreases with the increase in the VIX. Returns in holding growth stocks dominate holding value stocks when the investors show extreme pessimism or optimism. However, in normal sentiment of investment, value stocks earn more returns than growth stocks.     

Analysis and design of focused demand chains

The paper describes the evolution of focused demand chains over an extended period of time as a major UK lighting manufacturer has sought to remain an international player in a fast changing business environment. Analysis and design procedures make use of the concepts of Wickham Skinner and Marshall Fisher to answer the strategic questions “what facilities are required and how should they be laid out to enable the necessary focused demand chains?” and to answer the tactical question “which focused demand chain is appropriate for this product?” The case study then details how the company has been transformed from operating within a traditional supply chain to driving change via the engineering of four focused demand chains. The paper concludes with a comparison of operations enablers, customer choice, and business performance metrics covering the transition period culminating in the current focused demand chain scenario. By matching products to the appropriate value stream there is a consequential reduction in product development time of 75%; manufacturing costs reduction of up to 27%; and up to 95% reduction in delivery lead times.