Heterogeneity and fine wine prices: application of the quantile regression approach

ABSTRACT

This study addresses the price heterogeneity of the five first growths of Bordeaux. We apply the quantile regression (QR) approach with market segmentation based on wine bottle price quantiles. We compute the hedonic price of wine attributes for various price segments in the market. This approach is applied to a major dataset comprising approximately 50,000 transactions over the 2003–2017 period. The findings indicate that the relative hedonic prices of several wine attributes differ significantly among deciles. The implications of our results are manifold. Vintage and Parker grades have a strong impact on the variation in wine prices, and there is a hierarchy among the five first growths of Bordeaux. There is also a premium commanded by the reputation and experience of an auction house. Since the financial crisis of 2012–2013, investors have considered that the five first growths are overrated, save for the most expensive wines; for those most expensive ones, investors prefer scarcity to liquidity. These results are of import to several actors in the fine wine market: investors, for example, could use the findings herein to better diversify their wine portfolio, while auction houses could better anticipate their future sales based on consumers’ expectation.     

Estimation of a hedonic price equation for Burgundy wine

A hedonic price equation and two jury grade equations are estimated for Burgundy wine. The approach is the same as in an earlier Bordeaux wine paper (Combris et al., 1997). The data come from an experimental study that is very similar to the study on Bordeaux wines. The results for the two wine-growing regions are compared and discussed.     

Forecasting Bordeaux wine prices using state-space methods

Generic Bordeaux red wine (basic claret) can be regarded as being similar to an agricultural commodity. Production volumes are substantial, they are traded at high frequency and the quality of the product is relatively homogeneous. Unlike other commodities and the top-end wines (which represent only 3% of the traded volume), there is no futures market for generic Bordeaux wine. Reliable forecasts of prices can to large extent replace this information deficiency and improve the functioning of the market. We use state-space methods with monthly data to obtain a univariate forecasting model for the average price. The estimates highlight the stochastic trend and the seasonality present in the evolution of the price over the period 1999 to 2016. The model predicts the path of wine prices out of sample reasonably well, suggesting that this approach is useful for making reasonably accurate forecasts of future price movements.     

Do denominations of origin provide useful quality signals? The case of Bordeaux wines

This paper investigates whether the existing Denominations of Origin (DOs) provide useful quality signals for wine consumers. To test our conjecture that the large number of existing DOs is too many for the typical consumer, we investigate the patterns of co-movement among average monthly wholesale prices for red wines from the 11 main DOs in Bordeaux over 16 years, 1999–2014. Our results indicate that consumers substitute among these wines according to the similarity of semantic elements in the names of DOs on the labels, and not according to prices or terroir that could reflect intrinsic quality where the names as such cannot. This finding suggests that the current DOs are too numerous and complex to provide helpful quality signals to consumers. A substantial reduction of the number of DOs might be warranted to better address the broader informational issue in wine markets.     

Predicting the Quality of an Unborn Grange*

In a recent paper Ashenfelter, Ashmore and Lalonde found they could explain the variation in the price (and quality) of Bordeaux vintages by a combination of age, temperature and rainfall. The same ideas are applied here to Grange Hermitage, Australia's premier wine. Weather variation is less important than in Bordeaux. However, some remarkably robust results are obtained: a ‘quality index’ for Grange is derived, predictions about still unreleased vintages are made, the Australian regression coefficients work well in the Bordeaux equation, and issues relating to market efficiency in the pricing of young wines are examined     

Analysis of long-run benefits from international equity diversification between Taiwan and its major European trading partners: an empirical note

This paper employs four cointegration test approaches, PO, HI, JJ and KSS, to test for pairwise long-run equilibrium relationships between Taiwan's stock price index and each of the stock price indexes of four European markets – French, German, Dutch, and British stock markets. The results from these four tests are robust and clearly consistent in suggesting that the Taiwan stock market is not pairwise cointegrated with the four European stock markets. This provides strong evidence that there exist long-run benefits for Taiwan investors diversifying in the equity markets of Taiwan's major European trading partners, France, Germany, Holland, and the UK, over the sample period considered from 6 January 1998 to 30 May 2002. These findings could be valuable to Taiwan individual investors and financial institutions holding long-run investment portfolios in the equity markets of France, Germany, Holland, and the UK.     

The Economics of Wine – Introduction

To coincide with the 150th anniversary of the famous Bordeaux Wine Classification of 1855, the Centre for Policy Evaluation at the University of Nottingham sponsored a special session at the 2005 RES Annual Conference on the economics of wine. The 1855 classification was completed as part of the Paris Exhibition of the same year as a temporary means to determine which Bordeaux wines would be exhibited. The classification took hold, and is still in use today. In celebration, this Feature explores how economics can add to an understanding of wine production and wine markets.     

Art as an investment: Short and long-term comovements in major painting markets

This paper examines the short and long-term price linkages among major art and equity markets over the period 1976–2001. The art markets examined are Contemporary Masters, French Impressionists, Modern European, 19^th Century European, Old Masters, Surrealists, 20^th Century English and Modern US paintings. A global equity index (with dividends and capitalisation changes) is also included. Multivariate cointegration procedures, Granger non-causality tests, level VAR and generalised variance decomposition analyses based on error-correction and vector autoregressive models are conducted to analyse short and long-run relationships among these markets. The results indicate that there is a stationary long-run relationship and significant short and long run causal linkages between the various painting markets and between the equity market and painting markets. However, in terms of the percentage of variance explained most painting markets are relatively isolated, and other painting markets are generally more important than the equity market in explaining the variance that is not caused by innovations in the market itself. This suggests that opportunities for portfolio diversification in art works alone and in conjunction with equity markets exist, though in common with the literature in this area the study finds that the returns on paintings are much lower and the risks much higher than in conventional financial markets.The authors would like to thank delegates to the 14th Australasian Finance and Banking Conference, University of New South Wales, seminar participants at the Queensland University of Technology and Massey University, Masaki Katsuura, and two anonymous referees for helpful comments on earlier versions of this paper. The financial assistance of a Queensland University of Technology, Faculty of Business Research Initiative Grant is also gratefully acknowledged.     

Asymmetric determinants of CDS spreads: U.S. industry-level evidence through the NARDL approach

This paper investigates the presence of asymmetries in the short- and long-run relationships between the 5-year CDS index spreads at the U.S. industry level and a set of major macroeconomic and financial variables, namely the corresponding industry stock indices, the VIX index, the 5-year Treasury bond yield and the crude oil price, using the NARDL approach. The empirical results provide significant evidence of both short-run and long-run asymmetries in the linkage between ten industry CDS spreads and the potential driving factors common for all industries, confirming the importance of asymmetric nonlinearity in this context. It is also shown that the industry equity prices, the VIX, the 5-year Treasury bond rate and, to a lesser extent, the crude oil price constitute important asymmetric determinants of these U.S. industry CDS spreads. The findings of this study have relevant implications for investors, speculators, arbitrageurs and policy makers interested in credit risk at the industry level.     

Information,Pricing and Efficiency in Cash and Futures Markets: The Case of Hogs

The price leadership roles among hog cash and futures markets are assessed to locate points of price discovery and to examine flows of information among these markets. Several years of data are analyzed using lead/lag causality analysis and strength of linear causality measures. Although significant instantaneous relationships exist among hog cash and futures markets, one-way causality tests indicate that generally the futures market dominates cash hog markets in the price discovery process.     

Stock and credit market expansion and economic development in emerging markets: further evidence utilizing cointegration analysis

This paper empirically investigates the relationship between equity and credit market development and economic growth, in a sample of five very important ‘emerging’ markets. In particular, employing a multivariate time-series methodology to test for long-run trends and causality between variables that proxy for stock market development, credit market development and economic development. The results seem to suggest that equity markets have a role to play only in relatively liberalized economies, like Chile and Mexico. In financially repressed economies, like India, the equity market does not affect real sector growth. Furthermore, the banking crises in the 1980s and 1990s in Chile and Mexico resulted in a negative relation between economic growth and the credit market. In South Korea, equity and credit markets both affect economic growth, but not vice versa. In countries where the nature of the stock market has been speculative, like Taiwan, a negative relationship is detected between equity market development and economic development.     

Cointegration and causal relationships among steel prices of Mainland China, Taiwan, and USA in the presence of multiple structural changes

Variation in the price of steel is an important factor to take into consideration when discussing cost control and management decisions in the construction industry. We employ various conventional and advanced econometrics methods to examine the interrelationships of steel prices in three related markets during the time period June 2002 to May 2010: Mainland China (CH), Taiwan (TW), and the United States (US). We adopt the Gregory and Hansen (GH) test and regime-switching (RS) model for cointegration, both of which accommodate endogenous structural break(s), to produce a more accurate analysis of a period in the presence of structural change(s). The empirical result of the RS cointegration test with respect to multiple structural breaks suggests a long-run equilibrium relationship among the three variables considered. This finding differs from the result of the GH test but confirms the result of the conventional Johansen test. Furthermore, the results of the Granger causality test indicate that both CH and US steel prices have great influence on the TW steel price; the Taiwanese steel market is closely linked with China and US steel markets in the long run.     

Transmission of shocks across global real estate and equity markets: An examination of the 2007–2008 housing crisis

This study analyses the impact of the 2007–2008 U.S. financial crisis on the structure of interdependence among several major global real estate and equity markets. Moreover, it performs a step-by-step comparative analysis to evaluate similarities and differences in the convergence patterns of global real estate markets vis-à-vis global equity markets. Long-run results indicate that global real estate markets were less integrated than global equity markets prior to the crisis. Since the crisis, however, both global real estate and global equity markets have become highly integrated with the U.S. real estate and equity markets, respectively, and have fully converged. Short-run analyses indicate that during the pre-crisis period, global real estate markets were highly exogenous and independent. In contrast, global equity markets were comparatively more interdependent with one another and more endogenous. After the crisis, however, both global real estate and equity markets reacted strongly to shocks emanating from the U.S. markets, although the impact of the U.S. real estate market on the global real estate market is more pronounced than the effect of the U.S. equity market on the global equity markets. Finally, the study shows that U.S. real estate and equity markets are the channels of transmission or the sources of trends that drive global markets over the long-run and the short-run.     

Financial integration and the ASEAN-5 equity markets

The existence of long-run relationships among the ASEAN-5 equity markets is empirically investigated. This study utilized weekly data spanning January 1988 to August 1999. The results of Granger noncausality test due to Toda and Yamamoto (Journal of Econometrics,66, 225–50, 1995) reveal that the Singapore equity market was not affected by other markets except by the Philippines in the long run. This result shows that there exist opportunities for beneficial international portfolio diversification within the context of the Asean-5 equity markets.     

On the dynamic effects of global commodities on stock market blocks in Africa

This article explores the commodity–equity links in the Africa markets by distinguishing between short- to long-run co-movements driven by market shocks. Using the value-weighted average method, available Africa’s stock markets are aggregated into four market blocks. Global oil and gold returns are used as proxies for commodities. Coherency between pairs of markets is examined with the use of continuous Morlet wavelet transform. Results reveal abstemiously high degree of co-movements between the commodity–equity markets in the short- to medium-term frequencies with nonhomogenous lead–lag nexuses, signifying greater benefits of diversification in the long-term. These findings provide investors with relevant strategies for hedging.     

The multi-market analysis of a housing price transmission model

In this article, we examine dynamic relationships among housing prices from four first-tier cities in China from December 2000 to May 2010 and present an equilibrium model of housing price in multi-markets. By explicitly incorporating and modelling endogenous price series in competing housing markets, our empirical model is able to capture the existence of long-run equilibrium relationships and important short-run dynamics and price structures such as price leadership, price transmission lag and asymmetric price responses. Such multi-market analysis has generalized implications and can easily be applied to analyse the pricing dynamics among other real estate markets in the world. Our major contribution lies in two aspects. First, we employ an Error-Correction Model (ECM) with Directed Acyclic Graphs (DAG) to study the price dynamics in the four largest and key housing markets in China. Second, we uncover a price transmission among these housing markets in China and provide an insightful understanding of price adjustment across markets. The revealed effective price transmission and high correlation among these different markets actually is not a good thing for a stable financial system and for the defence against price bubbles in the housing market.     

Non-linear causality between the stock and real estate markets of Western European countries: Evidence from rank tests

Using the non-parametric rank tests proposed by Breitung (2001), we set out in this study to determine whether any non-linear long-run equilibrium relationship exists between the stock and real estate markets of Western European countries. We go on to adopt the threshold error-correction model (TECM) to determine whether a similar relationship is discernible possibly non-linear functions of the log-price of these two markets. The findings clearly point to the existence of long-run unidirectional and bidirectional causality between the real estate market and the stock market in regions both above and below the threshold level. Finally, we find the existence of both wealth and credit price effects in the real estate markets and stock markets of Western European countries, which thereby offer financial institutions and individual investors in their construction of long-term investment portfolios within these two asset markets.     

Short-Run and Long-Run Effects of Copper Mining on Peru’s Recent Economic Growth

Peru is the second-largest producer and exporter of copper in the world. This paper proposes a novel approach to assess short-run and long-run effects of copper on Peru’s recent economic growth. Annual data over the 2014–2018 period were used to calculate a Mining Contribution Index (MCI). An institutional quality indicator of the World Competitiveness Index of the World Economic Forum measured the dependence of Peruvian economic growth on mining and the quality of its institutions, respectively. Then, monthly data during the period 2005–2018 were used to run vector autoregressive (VAR) and vector error correction (VEC) models to measure copper’s effects on the country’s economy over time. VAR-VEC models included copper production, exports, international price, investment, taxes paid by producing companies, and Peru’s gross domestic product (GDP). Stationarity and causality of variables were verified with the Augmented Dickey-Fuller and Granger tests, respectively. Due to the presence of non-stationary variables, a VEC model was implemented to forecast short- and long-run effects. The main results show that real GDP responds to copper output and other related explanatory variables differently, depending upon the instrument applied. Peruvian GDP has increased dependence on copper mining. The quality of its institutions could explain the presence of Dutch Disease or resource curse theory. Short- and long-run effects of copper output on GDP were generally statistically non-significant. GDP was statistically significant in relation to other mining variables, such as copper exports and the international price of copper.

     

Reconsidering the macroeconomics of the oil price in Germany: testing for causality in the frequency domain

This paper reconsiders the macroeconomics of the oil price for Germany. It investigates whether causality between the oil price and a selection of both macroeconomic and financial market variables differs between frequency bands. Both a bivariate frequency-wise causality measure and its higher-dimensional extension are applied. The main findings are that short-run causality exists between the oil price and variables such as short-term interest rates and the German share price index, while long-run causality is found between the oil price and long-term interest rates. Moreover, the oil price predicts the consumer price index at a high number of different frequencies, while no significant causality is found to run from the oil price to industrial production and the unemployment rate.