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Renewable energy sources produce less environmental impact and have little marginal cost. Thus, because of these characteristics, it is desirable to disseminate it for the purpose of economic efficiency. Because of the uncertainty in the supply of renewable energy and the special feature of electricity as a good, such as merit order curve, introducing forward markets is an essential factor in a liberalized market. In European countries, which have already established several mechanisms for managing liquidity including markets with several timelines, the market liquidity invites the investor to perform some speculative action. We present a simple electric power market model to analyze the speculative actions of electricity suppliers and the price effect of such actions. Moreover, we found that the speculative action improves the inelasticity of the demand in electricity market.

Retailers and major consumers of electricity generally purchase an important percentage of their estimated electricity needs years ahead in the forward market. This long-term electricity procurement task consists of determining when to buy electricity so that the resulting energy cost is minimised, and the forecast consumption is covered. In this scientific article, the focus is set on a yearly base load product from the Belgian forward market, named calendar (CAL), which is tradable up to three years ahead of the delivery period. This research paper introduces a novel algorithm providing recommendations to either buy electricity now or wait for a future opportunity based on the history of CAL prices. This algorithm relies on deep learning forecasting techniques and on an indicator quantifying the deviation from a perfectly uniform reference procurement policy. On average, the proposed approach surpasses the benchmark procurement policies considered and achieves a reduction in costs of 1.65% with respect to the perfectly uniform reference procurement policy achieving the mean electricity price. Moreover, in addition to automating the complex electricity procurement task, this algorithm demonstrates more consistent results throughout the years. Eventually, the generality of the solution presented makes it well suited for solving other commodity procurement problems.

We study the impact of renewable energy on forward markets for electricity. Previous literature shows that forward prices are determined by time-varying demand and volatile spot prices. We introduce supply risk from renewable generation and find that stochastic renewable output mitigates income risk for generating firms, in particular when negative shocks to renewable output have large positive price impact. This risk off-setting effect leads to reduced hedging needs for generating companies and increases the forward premium. Using five years of high-frequency spot and futures market data, we confirm our model empirically. In sum, our findings suggest that intermittent renewable generation changes firm’s hedging incentives and has significant impact on forward prices for electricity. JEL Classification: G11, G13, Q42

This research aims to build conceptual guidelines regarding price risk management through the agricultural derivatives market. Specifically, to identify the common price risk management methods and strategies employed, the risk analysis models of derivative markets, and the barriers to agricultural risk management. This is an integrative review, the search for literature on the models of risk management analysis of agricultural derivatives started by listing the largest possible number of keywords on the topic, in the Scopus and Web of Science. Forty-five publications were found meeting the pre-established criteria that served as the basis for this research.  Based on the literature review, we list the main information on the subject and we also propose a theoretical model for analyzing the market risks of agricultural derivatives. Still, it was possible to notice that among the methodologies for measuring market risk, Value at Risk (VaR) stands out. We exemplify and demonstrate the existence of several statistical analyzes and mathematical models, as well as software available for the management of price risks. It is concluded that strategies with the futures and options market, even though they are the most efficient for risk management, lack incentives to become practical.

The establishment of a long-term, cross-border market in which forward market coupling and bilateral contracts are developed in an integrated approach is instrumental for the European internal electricity market. We propose the joint energy and transmission right auction (JETRA) mechanism, developed by O’Neill et al., as a solution for long-term cross-border markets in Europe. The main contribution of this research lies in its examination of the underlying market structures for effective JETRA implementation. We compare the institutional setting, market rules, and grid modeling under nodal and zonal pricing systems, adapting JETRA to the flow-based market coupling (FBMC) mechanism that is currently implemented in the European day-ahead market. This adaptation reveals the inherent limitations of FBMC in supporting JETRA, in particular in the long-term auction. We also identify constraints posed by existing European market rules, particularly those that affect the application of multi-settlement rules and the effective timeframe of hedging instruments. In conclusion, our research suggests that transitioning from zonal to nodal pricing is essential for JETRA’s effective implementation. Furthermore, a comprehensive market reform is required to seamlessly integrate long- and short-term markets.

The role of forward contracts in mitigating market power is an important and recurring theme in oligopolistic industries, such as electricity and gas. In “On the Inefficiency of Forward Markets in Leader–Follower Competition,” D. Cai, A. Agarwal, and A. Wierman study the impact of forward contracting in situations where firms have capacity constraints and heterogeneous production lead times. The authors introduce a model that combines forward contracting and leader–follower competition and explicitly characterize the equilibrium outcomes with and without forward contracting. They show that the impact of forward markets is delicate—it may mitigate market power or create opportunities for market manipulation. In particular, leader–follower interactions due to heterogeneous production lead times may cause forward markets to be inefficient, even when there are a large number of followers. In fact, symmetric equilibria do not necessarily exist due to differences in market power among leaders and followers. Motivated by electricity markets, this paper studies the impact of forward contracting in situations where firms have capacity constraints and heterogeneous production lead times. We consider a model with two types of firms—leaders and followers—that choose production at two different times. Followers choose productions in the second stage but can sell forward contracts in the first stage. Our main result is an explicit characterization of the equilibrium outcomes. Classic results on forward contracting suggest that it can mitigate market power in simple settings; however, the results in this paper show that the impact of forward markets in this setting is delicate—forward contracting can enhance or mitigate market power. In particular, our results show that leader–follower interactions created by heterogeneous production lead times may cause forward markets to be inefficient, even when there are a large number of followers. In fact, symmetric equilibria do not necessarily exist due to differences in market power among the leaders and followers.

In the wake of frequent variables that interfere with the agricultural market, rural agents (producers) suffer liabilities due to their decisions, especially at the moment of commercialization. The forward market is precisely a strategy that may reduce the risks in oscillating prices of commodities and makes way towards the future formation of prices. Current paper compares the commercialization of soybeans in the forward and spot markets in terms of prices practiced between the harvest years 2011/2012 and 2016/2017. Data provided by the Chicago Board of Trade (CBOT) were used as reference for forward contracts traded in September with maturation in January and spot prices practiced in January retrieved from data from Coopavel in Cascavel PR Brazil. Forward contracts traded in September with maturity in January had a better performance when compared to January spot prices for harvests 2011/2012, 2012/2013, 2013/2014. Due to fluctuations in weather and market trends, they were the factors that weighed most on harvests 2014/2015, 2015/2016 and 2016/2017 for better prices on most of the maturities for January on the spot market. Results show that, although spot price was better in certain periods, the marketing strategy on forward markets is highly interesting since the producer can employ profits and have guarantees against market risks

This book chronicles how Korea dealt with and overcame the crisis over time. The book is organized into eleven chapters. Chapter one outlines the troubling financial market conditions at home and abroad before the crisis. Chapter two then delves into the origin of the crisis and offers analyses on the shortcomings of the Korean economy and the instability of the international financial system. In chapter three, policy measures the government executed in the wake of the onset of the crisis are described and analyzed. Chapter four probes the steps taken to reduce the risk of sovereign insolvency in the face of the cool market reaction to the initial package of crisis response measures announced by the International Monetary Fund in December 1997. Chapter five describes the background within which the government established the institutional framework necessary for corporate, financial, and labor market restructuring between December 1997 and April 1998. The government efforts to secure additional foreign currency liquidity through the markets and to devise initiatives to counter the massive unemployment are discussed in detail. In chapter six, the situation during May and June 1998 is explored with a focus on the closure of nonviable corporate and financial companies and the efforts to drive down interest rates and revive credit flows. This is followed, in chapter seven, by an analysis of the first phase of financial sector restructuring, which started in the third quarter of 1998, and the measures adopted to shore up potential growth and cope with the pressing problem of unemployment. Chapters eight and nine deal separately with the restructuring of the top five chaebols (the large family-controlled and family-run groups that dominate business in Korea), the economic stimulus packages applied during the fourth quarter of 1998, the efforts to restore financial market stability and economic growth, and the initial phase of foreign exchange liberalization measures, which were implemented during the first half of 1999. Chapter ten then discusses the situation during the second half of 1999, with a particular focus on the collapse of the Daewoo business group, including the steps taken to contain the resulting fallout, as well as measures aimed at expanding the economic recovery. Chapter eleven, the final chapter, offers a diagnosis of the Korean economy, along with an analysis of the policy implications and the responses for the future.