The emerging market crisis and stock market linkages: further evidence

This study examines the long‐run price relationship and the dynamic price transmission among the USA, Germany, and four major Eastern European emerging stock markets, with particular attention to the impact of the 1998 Russian financial crisis. The results show that both the long‐run price relationship and the dynamic price transmission were strengthened among these markets after the crisis. The influence of Germany became noticeable on all the Eastern European markets only after the crisis but not before the crisis. We also conduct a rolling generalized VAR analysis to confirm the robustness of the main findings. Copyright © 2006 John Wiley & Sons, Ltd.     

Are the stock and real estate markets integrated in China?

This paper examines the dynamic short-run and long-run co-movement between the real estate and stock markets in China by employing a continuous wavelet method. We use gross domestic product and M2 (broad money supply) as control variables to eliminate the common factors of the two markets and to identify the real nexus between them. The empirical results show that the co-movement between real estate and stock prices is weak in the short run, except during the financial crisis period. Since the stock market is highly volatile, while real estate prices are relatively stable, the two markets are less correlated in the short run. The results also show that real estate prices affect stock prices in the long run, which supports the existence of a credit-price effect in China. Real estate prices remained very high in most time periods. Enterprises and individuals can obtain funds from bank loans to invest in the stock market, thus raising stock prices. These findings indicate that the two markets are generally segmented in the short run but are integrated in the long run. The stabilization of the real estate market is critical for stability in the stock market, but not vice versa. Additionally, investments in the two markets may not provide a high level of risk dispersion in the long run in China.

     

Modelling Electricity Prices: International Evidence*

This article analyses the evolution of electricity prices in deregulated markets. We present a general class of models that simultaneously takes into account several factors: seasonality, mean reversion, GARCH behaviour and time‐dependent jumps. The models are applied to daily equilibrium spot prices of eight electricity markets. Eight different nested models were estimated to compare the relative importance of each factor in each of the eight markets. We find strong evidence that electricity equilibrium prices are mean‐reverting, with volatility clustering (GARCH) and with jumps of time‐dependent intensity, even after adjusting for seasonality.     

Comparing the forecasting performances of linear models for electricity prices with high RES penetration

We compare alternative univariate versus multivariate models and frequentist versus Bayesian autoregressive and vector autoregressive specifications for hourly day-ahead electricity prices, both with and without renewable energy sources. The accuracy of point and density forecasts is inspected in four main European markets (Germany, Denmark, Italy, and Spain) characterized by different levels of renewable energy power generation. Our results show that the Bayesian vector autoregressive specifications with exogenous variables dominate other multivariate and univariate specifications in terms of both point forecasting and density forecasting.     

Improving Electricity Market Price Forecasting with Factor Models for the Optimal Generation Bid

In liberalized electricity markets, the electricity generation companies usually manage their production by developing hourly bids that are sent to the day‐ahead market. As the prices at which the energy will be purchased are unknown until the end of the bidding process, forecasting of spot prices has become an essential element in electricity management strategies. In this article, we apply forecasting factor models to the market framework in Spain and Portugal and study their performance. Although their goodness of fit is similar to that of autoregressive integrated moving average models, they are easier to implement. The second part of the paper uses the spot‐price forecasting model to generate inputs for a stochastic programming model, which is then used to determine the company's optimal generation bid. The resulting optimal bidding curves are presented and analyzed in the context of the Iberian day‐ahead electricity market.     

Business,housing, and credit cycles

We use multivariate unobserved components models to estimate trend and cyclical components in gross domestic product (GDP), credit volumes, and house prices for the USA and the five largest European economies. With the exception of Germany, we find large and long cycles in credit and house prices, which are highly correlated with a medium‐term component in GDP cycles. Differences across countries in the length and size of cycles appear to be related to the properties of national housing markets. The precision of pseudo real‐time estimates of credit and house price cycles is roughly comparable to that of GDP cycles.     

Inflation,output and stock prices: evidence from Latin America

Research in economics and finance documents a puzzling negative relationship between stock returns and inflation rate in markets of industrialized economies. The present study investigates this relationship for the developing markets of Peru and Chile. Fama's model of linkages between inflation and real economic activity constitutes the theoretical framework of this paper. The study tests whether the negative relationship between equity returns and inflation is a result of a ‘proxy effect’, namely, a negative relationship between inflation and real economic activity. The evidence for Peru and Chile does not provide strong support for Fama's hypothesis. It is shown that the negative relationship between the real stock returns and unexpected inflation persists after purging inflation of the effects of the real economic activity. The long‐run equilibrium between stock prices and general price levels is weak, as indicated by the findings of the Johansen and Juselius co‐integration tests. However, in both economies, stock prices and general price levels seem to show a strong long‐run equilibrium with the real economic activity. These findings suggest that in the long‐run, Fama's propositions A and B are supported for Peru and Chile. The disparity between traditional regression and co‐integration test results suggest that it may be prudent to re‐examine the proxy effect in the framework of a long‐run relationship before denying its validity. Copyright © 1999 John Wiley & Sons, Ltd.     

基于半绝对离差的发电商多阶段电能分配策略

在电力市场中,发电商需要提前对各个市场的电价进行预测以构造最优电能分配策略。现有文献一般假设发电商的收益的分布函数是连续的,但实际上这个假设未必成立。在此背景下,采用半绝对离差来度量发电商的风险,构建了发电商多阶段电能分配组合模型。发电商可以采用该模型将发电量多时段地合理分配到各市场中,在最大化期望利润同时最小化风险,从而为发电商进行多阶段电能分配与风险管理提供了新方法。最后提供的算例表明了所提方法是合理、可行的。     

Price Discrimination in Two‐Sided Markets

We examine the profitability and welfare implications of targeted price discrimination (PD) in two‐sided markets. First, we show that equilibrium discriminatory prices exhibit novel features relative to discriminatory prices in one‐sided models and uniform prices in two‐sided models. Second, we compare the profitability of perfect PD, relative to uniform prices in a two‐sided market. The conventional wisdom from one‐sided horizontally differentiated markets is that PD hurts the firms and benefits consumers, prisoners' dilemma. We show that PD, in a two‐sided market, may actually soften the competition. Our results suggest that the conventional advice that PD is good for competition based on one‐sided markets may not carry over to two‐sided markets.     

Cross‐hedging and forward‐contract pricing of electricity in the Pacific Northwest

This paper develops a linear regression model for using actively traded NYMEX natural gas futures as a cross‐hedge against electricity spot‐price risk in the Pacific Northwest and for pricing the forward contracts in the presence of temperature and hydro risks. Our approach comports with reality and provides power purchasers with an effective instrument through which they can hedge their electricity bets through natural gas futures. It also demonstrates the sharp month‐to‐month variations in the natural gas futures' optimal hedge ratios and hedge effectiveness. Finally, it finds significant risk premiums in the Pacific Northwest forward prices, supporting the hypothesis that forward‐contract buyers are relatively more risk‐averse than sellers. Copyright © 2011 John Wiley & Sons, Ltd.     

International spillovers in global asset markets

The paper empirically estimates the financial transmission within and across bond and equity markets in the four largest global financial markets – the United States, the Euro area, Japan, and the United Kingdom. We argue that international bond and equity markets are highly interconnected both within and across asset classes in a globalized world, where the complex transmission process across various financial assets is not restricted to just the domestic market. This paper employs identification through generalized forecast error variance decompositions to estimate spillovers across four systemic markets in a Vector Autoregression (VAR) framework. We find that asset prices react most strongly to international shocks within the same asset class, but that there are also substantial international spillovers across asset classes. Rolling estimations analysis provides evidence that global asset markets have become more integrated and that the bilateral relationships change over time. Our results are robust to specifications that take into account the monetary policy stance and include foreign exchange markets.     

Speculation in the Oil Market

The run‐up in oil prices since 2004 coincided with growing investment in commodity markets and increased price co‐movement among different commodities. We assess whether speculation in the oil market played a role in driving this salient empirical pattern. We identify oil shocks from a large dataset using a dynamic factor model. This method is motivated by the fact that a small‐scale vector autoregression is not informationally sufficient to identify the shocks. The main results are as follows. (i) While global demand shocks account for the largest share of oil price fluctuations, speculative shocks are the second most important driver. (ii) The increase in oil prices over the last decade is mainly driven by the strength of global demand. However, speculation played a significant role in the oil price increase between 2004 and 2008 and its subsequent collapse. (iii) The co‐movement between oil prices and the prices of other commodities is mainly explained by global demand shocks. Our results support the view that the recent oil price increase is mainly driven by the strength of global demand but that the financialization process of commodity markets also played a role. Copyright © 2014 John Wiley & Sons, Ltd.     

House price convergence in euro zone and non-euro zone countries

This study investigates whether single currency use increased house price convergence among various countries. First, the panel unit root test results indicate that the house prices in euro zone countries were more correlated than the house prices in non-euro zone countries. Second, the house prices in various European countries converged towards the house prices in Germany, which uses the single currency, rather than towards those in the United Kingdom, indicating that single currency use increased the influence of the German housing market on other markets. Finally, the log t regression model, a new convergence test, was employed and determined that the house prices in various European countries were not converging before 1992 but began to do so after that year. After the euro was implemented as an official currency, the house prices in various countries converged towards a consistent level. On the basis of the relative transition paths, this study determines that the differences among housing markets in various countries have continuously decreased since 1992. The empirical results indicate that the law of one price is applicable to tradable goods and that single currency use can integrate housing markets, which include non-tradable goods.     

Pricing‐to‐Market and Market Structure*

Stimulated by imperfect competition/sticky prices framework of the new open economy macroeconomics, empirical research has reconsidered the role of exchange rates in international adjustment. This paper reassesses the link between exchange rates and traded good prices by estimating pricing‐to‐market equations for the five main euro area countries over the period 1990–99. We minimize selection biases by keeping all manufacturing products and all destination markets and show that exchange rate pass‐through (ERPT) is much larger, almost complete, than previously estimated. Thanks to a huge variability in terms of exchange rate variations, products and destination markets, we can map differences in ERPT into market structures and, at the same time, reconcile our results with the empirical literature. We find that ERPT is highly incomplete for sales by oligopolistic industries into advanced economies, indeed in the order of 50–60% as previously estimated. ERPT is instead almost complete in emerging and developing economies where therefore exchange rate movements can help adjust external imbalances. We also find that ERPT is largely asymmetric: it is almost complete after an appreciation of the exporter's currency, rather incomplete after a depreciation. This result is very robust across specifications.     

Determinants of Relative Sectoral Prices: The Role of Demographic Change

Demographic change raises demand for non‐tradable old‐age related services relative to tradable commodities. This demand shift increases the relative price of non‐tradables and thereby causes real exchange rates to appreciate. We claim that the change in demand affects prices via imperfect intersectoral factor mobility. Using a sample of 15 OECD countries, we estimate a robust increase of relative prices. According to our main estimate, up to one fifth of the average increase in relative prices between 1970 and 2009 can be attributed to population ageing. Further findings confirm the relevance of imperfect factor mobility: Countries with more rigid labour markets experience stronger price effects.     

Price dynamics in public and private housing markets in Singapore

In down-payment constrained housing consumption models, increases in house prices could trigger household mobility decisions in housing markets. This study empirically tests house price dynamics associated with the mobility of households in the public resale and private housing markets in Singapore. The results show that stochastic permanent breaks were found in the public housing resale prices and private housing prices. The relative prices drift apart occasionally, but mean-revert to a long-run fundamental equilibrium. Error correction mechanisms and lagged public housing prices were also found to have significant explanatory effects for price changes in the private housing markets. The results support the hypothesis that household mobility creates co-movements of prices in public and private housing submarkets in the long run.     

Achieving a 10% Cut in Europe's Carbon Dioxide Emissions using Additional Excise Duties: Coordinated,Uncoordinated and Unilateral Action using the Econometric Model E3ME

Coordinated, uncoordinated and unilateral policies to reduce carbon dioxide emissions by 10% in 11 member states of the European Union (EU) by 2010 are compared with unilateral policies in each member state. The paper presents the results from four projections using a large-scale, integrated, regionalized E3 model of the EU (not a general equilibrium model) estimated on time series, cross-section data for 1968—93 with international trade treated as between each member state and a European transport and distribution network. The 10% reduction is achieved by additional excise duties incremented every year from 1999 to 2010, according to the carbon contents of fuels, with special treatment of electricity (taxed on outputs not inputs) and with revenues recycled via reductions in employers' social security contributions. Multilateral coordinated policies require a common tax rate of 156 Ecus per tonne carbon (1999 prices), which rises to an average of 162 Ecu/tonne, with a wide range between regions when policies are uncoordinated. All the tax shift projections show double dividends of emission reduction and employment gain for all member states. Unilateral policies do not show much carbon leakage and they show smaller gains for output and employment. The results are compared with those from a general equilibrium model (GEM-E3), tackling the same topic.     

An identification‐robust test for time‐varying parameters in the dynamics of energy prices

We test for the presence of time‐varying parameters (TVP) in the long‐run dynamics of energy prices for oil, natural gas and coal, within a standard class of mean‐reverting models. We also propose residual‐based diagnostic tests and examine out‐of‐sample forecasts. In‐sample LR tests support the TVP model for coal and gas but not for oil, though companion diagnostics suggest that the model is too restrictive to conclusively fit the data. Out‐of‐sample analysis suggests a random‐walk specification for oil price, and TVP models for both real‐time forecasting in the case of gas and long‐run forecasting in the case of coal. Copyright © 2010 John Wiley & Sons, Ltd.     

Do house prices reflect fundamentals? Aggregate and panel data evidence

We investigate whether recently high and consequently rapidly decreasing U.S. house prices have been justified by fundamental factors such as personal income, population, house rent, stock market wealth, building costs, and mortgage rate. We first conduct the standard unit root and cointegration tests with aggregate data. Nationwide analysis potentially suffers from problems of the low power of stationarity tests and the ignorance of dependence among regional house markets. Therefore, we also employ panel data stationarity tests which are robust to cross-sectional dependence. Contrary to previous panel studies of the U.S. housing market, we consider several, not just one, fundamental factors. Our results confirm that panel data unit root tests have greater power as compared with univariate tests. However, the overall conclusions are the same for both methodologies. The house price does not align with the fundamentals in sub-samples prior to 1996 and from 1997 to 2006. It appears that the real estate prices take long swings from their fundamental value and it can take decades before they revert to it. The most recent correction (a collapsed bubble) occurred around 2006.