Valuing Options in Water Markets: A Laboratory Investigation

Risk and reliability dominate water supply discussions in the arid western United States due to increasing demand and finite, weather-dependent supply. Water markets have evolved in this region so agencies could meet this growing demand. In a few instances, water agencies turned to contractual mechanisms such as options to manage supply. As demand continues to grow option markets and other novel approaches to allocating water may become increasingly popular. We utilize experimental economics to analyze the effect of annual options on water markets in the absence of sufficient real-world data for conventional econometric analysis. We find gains from trade are higher when options can be traded. Additionally, gains are more evenly distributed, particularly with a dominant buyer and many sellers. Findings suggest option markets may be a viable choice as policymakers prepare for future droughts.     

Which way does water flow? An econometric analysis of the global price integration of water stocks

Around US$600 billion of investment is desperately needed to address forecasted huge shortages in water supply globally. A number of worldwide investors – so-called water funds – have started to take up this challenge. For these global water investors, knowledge about the extent of integration between the water sectors of financial markets is highly important. According to international portfolio diversification theory, the less (more) integrated markets are, the more (less) benefits there are from international diversification. In this study, we investigate the extent and manner of interdependence among the US, European and Asian water sector of the equity markets based on Vector Autoregression (VAR), Granger causality and impulse response analyses. We find that world water stock market prices are indeed significantly interdependent although this interdependence varies across time periods. Each market quickly responds to shocks from each other and completes its response within 3 days. Hence, for water investors, international diversification that is undertaken just within the water sector will not be beneficial. The result also implies that there is the risk of crossmarket contagion – that is, price volatility spill over across water sectors of different financial markets, and therefore, water authorities in one market should take cognisance of events in other markets.     

ASSESSING THE INTEGRATION OF ELECTRICITY MARKETS USING PRINCIPAL COMPONENT ANALYSIS: NETWORK AND MARKET STRUCTURE EFFECTS

Market power in electricity wholesale spot markets is more likely if there is market segmentation. We show that principal component analysis is a natural tool for the qualitative and quantitative assessment of the presence of local markets. We study whether the New Zealand market has been a national market or a set of local markets since its inception in 1996 and find that increased competition induced some segmentation that was eliminated by transmission enhancement and the introduction of generation downstream from the constrained circuits. Transmission investment policy that ensures one market will contribute to the efficiency of electricity, water, and related other markets. ( JEL D4, L1, L4)     

A new approach to measuring competition in the loan markets of the euro area

This article is the first that applies a new measure of competition, the Boone indicator, to the banking industry. This approach is able to measure competition of bank market segments, such as the loan market, whereas many well-known measures of competition can consider the entire banking market only. Like most other model-based measures, this approach ignores differences in bank product quality and design, as well as the attractiveness of innovations. We measure competition on the lending markets in the five major EU countries as well as, for comparison, the UK, the US and Japan. Our findings indicate that over the period 1994–2004 the US had the most competitive loan market, whereas overall loan markets in Germany and Spain were among the best competitive in the EU. The Netherlands occupied a more intermediate position, whereas in Italy competition declined significantly over time. The French, Japanese and UK loan markets were generally less competitive.     

ARE CHINESE STOCK MARKETS INCREASING INTEGRATION WITH OTHER MARKETS IN THE GREATER CHINA REGION AND OTHER MAJOR MARKETS?

This paper investigates the cointegrating and long-term causal relationships between the Shanghai A and B-share market, and between these two markets and the Hong Kong, the Taiwanese, the Japanese and the US market of two sub periods between July 1993 and March 2007. On the basis of a new Granger non-causality test procedure developed by Toda-Yamamoto (1995) and Johansen's (1988) cointegration test, my results suggest that a long-term equilibrium relationship measured by cointegration has been merged between the Chinese A-share market and the other markets in greater China region as well as the US market during the post-crisis period which covers the period since Chinese A-share market was opened to the Qualified Foreign Institutional Investors (QFII) in 2002. I also found that the Shanghai A-share market uni-directionally Granger-causes the other regional markets after the Asian financial crisis, while the A-share market and Hong Kong H-share market have had a significant feedback relationship since then. However, I found no evidence there has been cointegrating relationship between Shanghai B-share market and any other market ever since the B-share market was opened to the local retail investors in 2001.     

Price clustering in Australian water markets

The finding of clustering in financial prices on particular digits is common across a broad range of financial markets. This article explores whether price clustering is also present in the case of the weekly market for seasonal water in rural Victoria, Australia. We find a similar degree of clustering in the seasonal water market. This suggests that the trading activities of the market produce characteristics that are similar to more sophisticated and deeper financial markets.     

Evolutionary stability of bargaining and price posting: implications for formal and informal activities

In this paper we study the co-existence of two well known trading protocols, bargaining and price-posting. To do so we consider a frictional environment where buyers and sellers play price-posting and bargaining games infinitely many times. Sellers switch from one market to the other at a rate that is proportional to their payoff differentials. Given the different informational requirements associated with these two trading mechanisms, we examine their possible co-existence in the context of informal and formal markets. Other than having different trading protocols, we also consider other distinguishing features. We find a unique stable equilibrium where price-posting (formal markets) and bargaining (informal markets) co-exist. In a richer environment where both sellers and buyers can move across markets, we show that there exists a unique stable dynamic equilibrium where formal and informal activities also co-exist whenever sellers’ and buyers’ net costs of trading in the formal market have opposite signs.     

基于GARCH模型的核证减排交易期货价格波动性研究

采用GARCH簇模型对欧洲气候交易所核证减排交易（CER）期货价格数据进行特征分析,发现虽然仅仅经过了三年多的发展CER期货价格收益率的波动与其他较为成熟的表现出了相似的特征,并从法规、市场构成、制度等方面对中国碳排放交易中心的建设提出建议。     

Volatility transmission to the fine wine market

The goal of this paper is to explore volatility transmission from various markets to the fine wine market. Knowledge of these channels for transmitting volatility to the wine market allows practitioners to anticipate the future volatility and the consequences of a shock on the wine market, to develop their investment strategy and diversify their risk. We especially analyse the impact of U.S. markets (i.e. art, commodities, credit, financial and real estate) during the 2007–2017 period. We shed additional light on how the volatility of the fine wine market varies during an extended period including a financial crisis. Our results indicate that, in the short-term, volatility is transmitted with a negative effect through the financial and commodity markets and with a positive effect through the art, residential real estate, and credit default markets. In the long-term, the wine market is impacted by all other markets. We show that correlations are time-varying.     

Volatility Spillovers and Contagion from Mature to Emerging Stock Markets

This paper models volatility spillovers from mature to emerging stock markets, tests for changes in the transmission mechanism during turbulences in mature markets, and examines the implications for conditional correlations between mature and emerging market returns. Tri‐variate GARCH–BEKK models of returns in mature, regional emerging, and local emerging markets are estimated for 41 emerging market economies (EMEs). Wald tests suggest that mature market volatility affects conditional variances in many emerging markets. Moreover, spillover parameters change during turbulent episodes. In the majority of the sample EMEs, conditional correlations between local and mature markets increase during these episodes. While conditional variances in local markets rise as well, volatility in mature markets rises more, and this shift is the main factor behind the increase in conditional correlations. With few exceptions, conditional beta coefficients between mature and emerging markets tend to be unchanged or lower during turbulences.     

Who poisons the pool? Time-varying asymmetric and nonlinear causal inference between low-risk and high-risk bonds markets

Corporate bond markets enable the efficient allocation of capital among competing firms, as well as an extensive degree of disintermediation. While the role of the junk bond market in financing leveraged buyouts, “fallen angels,” start-ups, small firms, and sovereign governments is known, little is known about interactions between low-risk (AAA) bonds markets and high-risk (CCC and below) bonds markets. In this study, we used a sample of daily data spanning 20 years to investigate the dynamic link in first and second moments between low-risk and high-risk bonds during calm and turbulent periods in the U.S. financial markets. Using asymmetric and nonlinear causality tests, as well as the extended DCC-GJR-GARCH model, we found evidence of an asymmetric and nonlinear unidirectional causal link from high-risk to low-risk bonds markets, which intensifies during bear markets. There is a bidirectional volatility and shock transmission only during normal bond market conditions. The high-risk bonds market induces more destabilizing effects in the corporate bond market than the low-risk bonds market. The time-varying, highly persistent, and negative correlation during normal market conditions provides the opportunity for combining low-risk and high-risk bonds to diversify a portfolio.     

Water quality trading with asymmetric information,uncertainty and transaction costs: A stochastic agent-based simulation

We examine the efficiency of emissions trading in bilateral and clearinghouse markets with heterogeneous, boundedly rational agents making decisions under imperfect and asymmetric information, and transaction costs. Results are derived using a stochastic agent-based simulation model of agents’ decision-making and interactions. Trading rules, market structures, and agent information structures are selected to represent emerging water quality trading programs. The analysis is designed to provide a strong test of the efficiency of trading occurring through the two market structures. The Differential Evolution algorithm is used to search for market trade strategies that perform well under multiple states of the world. Our findings suggest that trading under both bilateral and clearinghouse markets yields cost savings relatively to no trading. The clearinghouse is found to be more efficient than bilateral negotiations in coordinating point–nonpoint trading under uncertainty and transaction costs. However, the market under both structures is unlikely to achieve or even approximate least-cost pollution control allocations. Expectations of gains from water quality trading should, therefore, be tempered.     

DRAMs, fiber and energy compared with three models of market penetration

When a new technology is introduced in the market, this technology generally follows an S-shaped curve, especially if measured on a relative (market share) basis. Marchetti and Nakicenovic and Norton and Bass have modeled the multivariant case of various technologies introduced at different times. A new, simple and flexible model has been proposed based on potential penetration. Potential penetration is penetration on the assumption that no other new technology will enter the market. In a stable competitive environment, potential penetration curves are typically positively sloped S-curves. The new model gives a good fit in markets with a limited number of competitors, which are capable of totally cannibalizing previous generations of technologies. It also fits well with markets with many competitors in a competitive equilibrium situation. Examples are the Dynamic Random Access Memory chips (DRAMs), fiber and energy market. The new model features fewer variables compared with existing models and can readily be adapted to technological processes with time varying parameters, which is particularly important in volatile competitive markets.     

Strong contagion with weak spillovers

In this paper, we develop an explanation for why events in one market may trigger similar events in other markets, even though at first sight the markets appear to be only weakly related. We allow for escape dynamics in each market, and show that an escape in one market is contagious because it more than doubles the probability of a similar escape in another market. We claim that contagion is strong since escapes become highly synchronised across markets. Spillovers are weak because the instantaneous spillover of events from one market to another is small. To illustrate our result, we demonstrate how a currency crisis may be contagious with only weak links between countries. Other examples where weak spillovers would create strong contagion are various models of monetary policy, imperfect competition and endogenous growth.     

中国可转债市场与股票市场的动态关系研究——基于DCC-MGARCH模型的分析

近年来,DCC-MGARCH模型已经被成熟地运用到对一些金融市场间关系的研究中,运用DCC-MGARCH模型对可转债市场与股票市场间的动态相关系数进行研究,采用全局综合与局部分析的方法,刻画上述两金融市场间相关系数的动态时变特征,结果表明：采用DCC-MGARCH模型对可转债市场与股票市场间关系的研究是有效且可行的。     

发展证券市场搞活资本流通

证券市场是社会主义市场体系的重要组成部分，发达的证券市场是当代市场经济高度发达的重要标志和发展动力。我国证券业已经进入初期发展阶段，今后的目标是要建立全国统一的多层次的证券市场体系。加强基础建设，完善服务功能，强化市场监管，建设我国发达的证券市场。     

European policy and markets: Did policy initiatives stem the sovereign debt crisis in the euro area?

We investigate how European policy initiatives influenced market assessments of sovereign default risk and banking sector fragility during the sovereign debt crisis in four adversely affected countries — Portugal, Ireland, Spain and Italy. We focus on three broad groups of policies: (a) ECB policy actions (monetary and financial support), (b) EU programs (financial and fiscal rules as well as financial support in crisis countries), and (c) domestic austerity programs. We measure immediate market impact effects: what policies changed risk perceptions, using CDS spreads on sovereign bonds and banks in this assessment. We employ dynamic panel and event study methodologies in the empirical work. We find that a number of programs initially stabilized sovereign and bank bond markets (e.g. Outright Monetary Transactions program), although announcement and implementation impacts on markets differed in some cases (e.g. second Covered Market Bond Program). Actions designed to shore up sovereign markets often lowered risk assessments in bank bond markets and policies designed to ensure safety and soundness of the European banking system in some cases significantly impacted sovereign debt markets. Finally, a number of policies designed to stabilize markets had surprisingly little immediate impact on either sovereign or bank bond market risk assessments.     

Interest arbitrage in the Euro-currency markets

This study investigates how interest rates in the non-dollar Euro-currency markets are determined. Each of these Euro-currency rates is linked to the Euro-dollar rate through arbitrage operations undertaken by banks. Evidence from regressions of the Euro-currency rates on the Euro-dollar rate and the corresponding forward premium confirms that each non-dollar rate adheres closely to interest parity. Arbitrage results in unifying the Euro-currency markets so that supply and demand pressures in any individual market are spread throughout other Euro-currency markets. Because of the overwhelming size of the Euro-dollar market, conditions in this market tend to dominate conditions in the remaining Euro-currency markets.     

COINTEGRATION OF STOCK MARKETS BETWEEN NEW ZEALAND, AUSTRALIA AND THE G7 ECONOMIES: SEARCHING FOR CO-MOVEMENT UNDER STRUCTURAL CHANGE

This paper examines whether the New Zealand equity market is integrated with the equity markets of Australia and the G7 economies by applying both the Johansen (1988 ) and Gregory and Hansen (1996 ) approaches to cointegration. The Johansen (1988 ) test suggests that there is no long-run relationship between the New Zealand stock market and any of the other stock markets considered in the study. The Gregory and Hansen (1996 ) test finds that the New Zealand and United States stock market is cointegrated, but the New Zealand stock market is not cointegrated with the other stock markets in the study. This suggests that in order to avoid some of the risk through international portfolio diversification there is potential for investors to purchase shares in the New Zealand market and either the Australian market or most of the world's leading equity markets.     

Towards equilibrium offers in unit commitment auctions with nonconvex costs

We compare two types of uniform-price auction formats commonly used in wholesale electricity markets—centrally committed and self-committed markets. Auctions in both markets are conducted by an independent system operator that collects generator bids and determines which generators will operate and how much electricity each will produce. In centrally committed markets, generators submit two-part bids consisting of a startup cost and a variable energy cost. Self-committed markets force generators to incorporate their startup costs into a one-part energy bid. The system operator in a centrally committed system ensures that each generator recovers the startup and energy costs stated in its two-part bid, while no such guarantees are made in self-committed markets. The energy cost ranking and incentive properties of these market designs remains an open question. While the system operator can determine the most efficient dispatch with a centralized market, the auction mechanism used to solicit generator data compels generators to overstate costs. Self commitment might involve less efficient dispatch but have better incentive properties. We derive Nash equilibria for both market designs in a symmetric duopoly setting. We also derive simple conditions under which the two market designs will be expected cost-equivalent.