Proactive planning and valuation of transmission investments in restructured electricity markets

Traditional methods of evaluating transmission expansions focus on the social impact of the investments based on the current generation stock which may include firm generation expansion plans. In this paper, we evaluate the social welfare implications of transmission investments based on equilibrium models characterizing the competitive interaction among generation firms whose decisions in generation capacity investments and production are affected by both the transmission investments and the congestion management protocols of the transmission system operator. Our analysis shows that both the magnitude of the welfare gains associated with transmission investments and the location of the best transmission expansions may change when the generation expansion response is taken into consideration. We illustrate our results using a 30-bus network example. An erratum to this article can be found at     

Social Security Reform and Corporate Governance

Abstract

This paper considers implementation issues arising from potential reforms to the United States Social Security system. Many reform proposals involve individually invested accounts, but the corporate governance implications of such accounts have not been fully explored. Existing reform plans will result in a large fraction of votes being concentrated at one private fund manager. The implications for corporate governance and debt management under alternative fund management strategies are evaluated. The use of futures to construct synthetic investments could alleviate corporate governance and debt management problems.     

The Hotelling Principle,backwardation of futures prices and the values of developed petroleum reserves — the production constraint hypothesis

We explore the practitioner-stylized facts that petroleum wells require large initial investments, have daily production capacities, and have small marginal costs for production rates meaningfully below these capacities. Long-run backwardation of futures prices is required to induce drilling new wells. In contrast to Miller and Upton (1985a,b) and Litzenberger and Rabinowitz (1995), production from developed reserves is essentially a corner solution at capacity regardless of backwardation or price volatility. Economically interesting supply decisions take the form of investment in exploration and drilling. Empirical evidence strongly rejects the Miller and Upton hypothesis in favor of our more general model.     

论传统期货交易所公司化改造的背景

许多传统的会员制非赢利期货交易所近年来纷纷进行公司化改造,成为赢利性的股份公司。尽管对这种组织变革及其相关问题存在着一些不同认识,但要深入研究这些问题,必须首先弄清出现公司化改造浪潮的背景。研究表明,促成这类战略决策的主要因素包括三个方面：信息技术的变革与创新使传统交易方式和组织形式面临技术竞争力方面的压力;国际期货市场结构发生了重大变化,传统交易所组织形式面临竞争方面的严峻挑战,有关国家的市场监管部门为提升本国期货业的竞争实力,对交易所的组织变革提供了有力支持。     

Catching the curl: Wavelet thresholding improves forward curve modelling

Modelling futures term structures (price forward curves) is essential for commodity-related investments, portfolios, risk management, and capital budgeting decisions. This paper uses a novel strategy, wavelet thresholding, to de-noise futures price data prior to estimation in a state-space framework in order to improve model fit and prediction. Rather than de-noise the raw data, this method de-noises only wavelet coefficients linked to specific timescales, minimizing the amount of information that is accidentally removed. Our findings are that, for the first five futures maturities in our sample data, in-sample (tracking) and 5-day-ahead out-of-sample (forecasting) Root Mean Squared Errors (RMSEs) are smaller both (i) when we increase the number of factors from one to four, and (ii) when we de-noise the data using wavelet thresholding. The improvement due to wavelet thresholding is often greater than the improvement from adding one more factor to the model, which is important because going beyond four factors does not improve model fit. Wavelet-based de-noising thus has the potential to improve considerably the estimation of various economic time series models, helping practitioners and policymakers with better forecasting and risk management.     

Effects of instantaneous groundwater availability on irrigated agriculture and implications for aquifer management

Groundwater is an important input for agricultural production in many parts of the world. Aquifer depletion has been shown to affect the rate that groundwater can be extracted from an aquifer. In this paper, we develop an analytical framework that accounts explicitly for the effects of limited instantaneous groundwater extraction rate (well capacity) on a producer's irrigation decisions. We show that limited well capacities can affect the producer’s groundwater use and profit. We draw three important insights from these findings. First, we demonstrate that the price elasticity of demand for groundwater is higher for lower well capacities. Second, farmers’ irrigation decisions are non-monotonic with respect to well capacity and climate conditions. Under a drier climate, producers with greater well capacities increase their groundwater use, and producers with lower well capacities reduce their water use. Third, through numerical analysis, we show that considering spatial heterogeneity in well capacities is important for estimating the cost-effectiveness and distributional impacts of groundwater management policies. Our results shed new light on the importance of extraction capacity for groundwater management policies and the potential impacts of climate change on agricultural production.     

A Minimax Regret Analysis of Flood Risk Management Strategies Under Climate Change Uncertainty and Emerging Information

This paper studies the dynamic application of the minimax regret (MR) decision criterion to identify robust flood risk management strategies under climate change uncertainty and emerging information. An MR method is developed that uses multiple learning scenarios, for example about sea level rise or river peak flow development, to analyse effects of changes in information on optimal investment in flood protection. To illustrate the method, optimal dike height and floodplain development are studied in a conceptual model, and conventional and adaptive MR solutions are compared. A dynamic application of the MR decision criterion allows investments to be changed after new information on climate change impacts, which has an effect on today’s optimal investments. The results suggest that adaptive MR solutions are more robust than the solutions obtained from a conventional MR analysis of investments in flood protection. Moreover, adaptive MR analysis with multiple learning scenarios is more general and contains conventional MR analysis as a special case.     

Forecasts of the managed futures market – an empirical analysis

Alternative investments, including managed futures, are primarily intended for institutional investors and for very wealthy individual investors. It therefore seems logical to assume, that the increase of wealth on a global scale can be a factor impacting the value of transactions in individual segments of the alternative-investment market. The purpose of this article is to indicate the factors affecting growth of managed futures transactions. Another research goal is to answer the question: Does the increase of wealth on a global scale affect the value of the managed futures transactions? The article will also present short-term forecasts of the transactions on the managed futures market for the years 2015–2017. The forecasts which will be constructed are meant to present possible scenarios of the market’s further development. Evolution of the alternative investment segment leads to development of those categories, which fulfil the expectations of market participants and meet the requirement and expiration of the remaining investments which do not attract investors and are no longer accepted by them.     

Market Share Quotas and Community Reinvestment

This notes explores some theoretical implications of the U.S. Department of Justice's policy requiring lenders to seek as much market share in protected neighborhoods as elsewhere. In the asymmetric Cournot case, the high-cost lender in the protected neighborhood responds in the expected way, but the low-cost lender's response depends on the curvature of the demand function. For concave demand, the low-cost lender's output decisions run counter to those of the high-cost lender, undermining the policy's effectiveness and inefficiently shifting production in the protected market from the low-cost provider to the high-cost provider.     

Dynamic adaptive transport policies for handling deep uncertainty

Many long-term transport policy decisions are made by assuming that (1) the range of possible futures is known well enough to predict future changes to the transport system, (2) there is enough knowledge regarding the correct transport system model to estimate policy outcomes, and (3) there is enough knowledge regarding the importance stakeholders currently assign to the various outcomes or will assign in the future. However, for long-term transport policy decisions these assumptions can often not be made, since decision makers, analysts, and experts do not know or cannot agree on (1) how the future will develop, (2) the system models, and/or (3) the value system(s) to be used to rank alternative policies. This paper presents a ‘dynamic adaptive’ approach to policymaking for long-term transport policies that aims at overcoming the shortcomings of traditional approaches for handling deep uncertainty. It allows adaptations in time as knowledge is gathered. The approach is illustrated with dynamic adaptive policies for solving various long-term problems in the fields of road, rail, and air transport.     

Commodity market risk from 1995 to 2013: an extreme value theory approach

In this article we examine whether extreme risk has increased in the agricultural commodity market during the period 1995–2013. We add to the literature on food price volatility by analysing the tail segment of futures price return distributions. Food price variability is a concern for governments and regulators worldwide, as most nations trade in food. High food price variability can contribute to poverty and malnourishment, in particular for people in less economically developed economies. We find no indications of systematically increasing tail-risk for the commodities in our sample. Analysis of estimated shape-parameters of the Generalized Extreme Value distribution further supports the conclusion that there is no general systematic change in the extreme risk associated with these commodity investments.     

Competition, entry and the social returns to infrastructure in transition economies

This paper presents a simple model for analysing the contribution of investments in physical and institutional infrastructure to the transition process. In addition to the direct cost savings, infrastructure investment generates important indirect effects, or transition impacts . The model shows that, by reducing transaction costs, infrastructure intensifies product market competition. This leads to more effective weeding out of the existing high-cost firms in the market. In this model, infrastructure also increases the incentives for low-cost firms to restructure which generates additional efficiency gains, but exacerbates the existing cost asymmetry in the economy. Finally, infrastructure investment enhances the incentives for relatively low-cost firms to enter the market, and thus improves the efficiency of the entry process. The importance of these transition impacts of infrastructure is dependent upon features of the economy, such as the degree of cost asymmetry among firms, the proportion of high-cost firms, the cost of restructuring and entry costs for new firms.
JEL classification: L1, O1, P2.     

Monetary and fiscal institutional designs

Two investment decisions in economic institutions are feasible; investments in monetary institutions in the form of delegation of monetary policy to a more conservative or independent central bank, and investments in fiscal capacity, in the form of combating bureaucratic corruption and its consequent fiscal revenue leakages. Within this framework, we investigate the interactions among those two institutional decisions and the obtained institutional structure. The findings provide support of strategic complementarities; investments in monetary and fiscal institutions reinforce each other. In addition, we identify a set of determinants that impact on the government’s decisions to improve economic institutions, particularly, the structure and intensity of the initial corruption level, the amount of distortions caused by taxation and the policymaker’s goals and preferences across its objectives.     

Missing Markets and Redundant Reservoirs

This paper uses a two-sector, two-period,spatial model of groundwater usage withstochastic surface water supply to illustratethe potential for the suboptimal management ofthe timing of groundwater uses. A ``timeprofile externality' is said to exist when thetiming of groundwater extraction by one set ofusers impacts on the time profile of wateravailability to another set of users. Theexistence of the time of use externalitydepends on the presence of importantdifferences in the preferences between thecontrol and non-control sectors. It alsodepends on the absence of the markets thatwould internalise these differences. Oneimportant implication of the existence of suchexternalities is that they can inducesub-optimal insurance investments in the formof water storage capital, i.e., unnecessarysurface water reservoirs.     

The effect of ambiguous risk, and coordination on farmers' adaptation to climate change — A framed field experiment

The risk of losses of income and productive means due to adverse weather can differ significantly among farmers sharing a productive landscape, and is of course hard to estimate, or even “guesstimate” empirically. Moreover, the costs associated with investments in reduced vulnerability to climatic events are likely to exhibit economies of scope. We explore the implications of these characteristics on farmer's decisions to adapt to climate change using a framed field experiment applied to coffee farmers in Costa Rica. As expected, we find high levels of risk aversion, but even using that as a baseline, we further find that farmers behave even more cautiously when the setting is characterized by unknown or ambiguous risk (i.e. poor or non-reliable risk information). Secondly, we find that farmers, to a large extent, coordinated their decisions to secure a lower adaptation cost, and that communication among farmers strongly facilitated coordination.     

Individual account investment options and portfolio choice: Behavioral lessons from 401(k) plans

This paper examines how the menu of investment options made available to workers in defined contribution plans influences portfolio choice. Using unique panel data of 401(k) plans in the U.S., we present three principle findings. First, we show that the share of investment options in a particular asset class (i.e., company stock, equities, fixed income, and balanced funds) has a significant effect on aggregate participant portfolio allocations across these asset classes. Second, we document that the vast majority of the new funds added to 401(k) plans are high-cost actively-managed equity funds, as opposed to lower-cost equity index funds. Third, because the average share of assets invested in low-cost equity index funds declines with an increase in the number of options, average portfolio expenses increase and average portfolio performance is thus depressed. All of these findings are obtained from a panel data set, enabling us to control for heterogeneity in the investment preferences of workers across firms and across time.     

Electric Utility Restructuring,Regulation of Distribution Utilities,and the Fallacy of "Avoided Cost" Rules

We show that commonly used "avoided cost" rules, which evaluate investment alternatives by comparing their costs to forecasts of future expected cost, are fundamentally flawed for choosing local area investments in distribution capacity. Use of avoided cost rules: 1) confuses cost-effectiveness tests with benefit-cost tests; 2) makes inappropriate marginal comparisons and violates necessary optimality conditions because of the "lumpy" nature of many distribution system investments; 3) fails to incorporate the effects of uncertainty properly; 4) necessarily leads to excess deferral or traditional distribution capacity investments with distributed generation and DSM investments; and 5) does not lead to lowest expected cost investment plans. We conclude by outlining a more appropriate approach to evaluating distribution investments based on evaluations of actual cash flows associated with investment alternatives under uncertainty.     

Price discovery and volatility spillover in spot and futures markets: evidences from steel-related commodities in China

The price discovery and spillover effect are significant indicators in futures markets. This study examines the price discovery and spillover effects using vector error correction model and generalized autoregressive conditional heteroskedastic for seven types of steel products in Chinese spot and futures markets. The results show that the price discovery exists in all of steel futures market. It is also confirmed that futures prices in all items are mainly leading spot prices via permanent-transitory and information share. In the results of spillover effects, it is found that wire rod, coking coal, coke and silico-manganese have the effects between spot and futures market. In rebar market, there is the spillover effect from spot to futures. This information about futures prices can help the market participants to make decisions when they predict the spot prices.     

Covariance breakdowns and connectedness of crude oil futures markets with non-synchronous data

ABSTRACT

This article identifies the breakdowns in the covariance of three benchmark crude oil futures markets (WTI, Brent and Dubai) and investigates the changes of market connectedness across the breakdown periods. As the crude oil futures are traded in different regions, this article eliminates the non-synchronous trading data by employing the Vector Moving Average structure and the Bayesian data augmentation approach, which keeps the integrity of original data without changing its properties. The results show that there are significant breaks in the covariance structure of crude oil futures markets. The breakdown periods are consistent with the periods when the market volatilities are at high level and the returns are volatile. The changes of market connectedness are independent of the covariance states, which supports the globalization hypothesis for the crude oil market. The results also suggest that there is more information flow out of the WTI than to the WTI during the sample period, particularly during the breakdown periods in 2008–2009.     

ENERGY UTILITIES, CONSERVATION, AND ECONOMIC EFFICIENCY

Academic and policy debate has centered around an apparent "underinvestment in conservation." This paper outlines traditional explanations for underinvestment and presents a prospect theory analysis of individual conservation behavior. On the basis of investment criteria, individuals seem to discriminate against conservation investments. While these decisions might appear rational as life style decisions, individual choice across different household appliances shows little consistency. For policymaking purposes, understanding and modeling actual behavior is crucial to maximizing social welfare. The insight of certain positive models of human behavior supports economic efficiency arguments for marketplace intervention. This paper argues that because individuals making conservation investment decisions apparently do not act according to the dictates of utilitarian economics, utility sponsored conservation programs are justified on economic efficiency grounds. Finally, in light of prospect theory considerations, the paper suggests marketing guidelines for conservation investments sponsored by electric utilities.