Asset pricing theory and the valuation of Canadian paintings

Abstract.  The valuation of Canadian paintings is analysed empirically. Using a sample of auction prices for major Canadian painters for the period 1968–2001, we run hedonic regressions to analyse the influence of various factors, including painter identity, on auction prices, as well as to construct a market price index. This index is used in a second‐stage analysis in which we analyse the properties of Canadian art viewed as an investment asset. We apply standard asset pricing theory, as incorporated in the capital asset pricing model (CAPM), to the analysis of price movements in the market for Canadian paintings.     

Financialization and the rise in co-movement of commodity prices

Between January 2000 and June 2008, the FAO food price index rose by 96%. Besides the magnitude, the price rise was remarkable for the broad range of commodities affected; prices of agriculture commodities, energy, and metals all rose and fell together. These dramatic developments coincided with a massive inflow of investment in the commodities futures market, and the rise of commodities as an investment class. In this paper, I study causal links between the increase in the co-movement between commodity prices and financialization of the commodities futures market. I extract common factors from a group of 40 commodities using the PANIC method and include it in a factor-augment VEC model along with a proxy of financialization. Results show that financialization of the commodities futures markets can explain the recent rise in co-movement between commodity prices, after accounting for macroeconomic variables.     

特征价格模型的发展应用研究

特征价格模型因为其完美的理论思想而成为国际上普遍使用的分析异质品价格和特征关系的主要方法.本文通过对国外核心期刊上一百五十二篇特征价格法相关文献的检阅,梳理了国内外特征价格模型及指数编制的研究现状,对特征价格模型的功能进行了总结性定位,认为特征价格模型的功能主要在于:异质品价格指数的编制,异质品价格预测、价值评估或产品定价,异质品价格影响因素分析,非市场因素的经济效应的检验及对传统经济学模型的改进五方面.文章最后以住宅为例,归纳总结了特征价格法在研究应用中存在的主要问题:一是市场细分;二是特征变量选择和量化;三是模型形式选择;四是模型估计方法的研究;五是指数编制中的问题.这些研究对象为未来特征价格的研究提供了可行参考.     

How index investment impacts commodities: A story about the financialization of agricultural commodities

This paper focuses on the impact of financial investors on agricultural prices, a phenomenon known as the financialization. In this aim, we check whether financial mechanisms drive extreme values and the mean of agricultural returns in the same way. Relying on the Threshold AutoRegressive Quantile (TQAR) methodology, we find evidence of reinforcement linkages between equity and agricultural markets since 2004, corresponding to the rise in inflows of institutional investors in commodity markets. These results show that agents impact more deeply commodity markets when the commodity index value is high. In addition, in extreme quantiles (0.75 and 0.90) of agricultural returns, the relationship between agricultural and stock returns is always significant when the commodity index return is in the higher regime. This finding suggests that, stock markets had a greater impact on agricultural price dynamics during the extreme movements which occurred during the 2007–2008 financial crisis, highlighting a potential influence of financial markets on the financialization of commodities.     

Global Liquidity and Commodity Prices

While monetary easing and increasing participation of financial institutions in commodity trading have enhanced the financialization of commodity markets, this paper investigates empirically whether the impact of global liquidity on commodity prices has grown since the crisis. For each commodity group, this paper uses a structural vector autoregression (SVAR) model to address the short‐run relationship between global liquidity and commodity prices. The key finding is that the effect of global liquidity on commodity prices becomes more salient since the global financial crisis. This paper also suggests a price‐based liquidity indicator has a greater explanatory power for the commodity price dynamics than monetary aggregates.     

A key determinant of commodity price Co-movement: The role of daily market liquidity

Daily price co-movement across different commodity classes and its key determinant are investigated in this paper. Using co-integration and Granger causality analysis, we identify a common liquidity factor which drives prices of five commodities (oil, silver, gold, corn, live cattle) to move along a common trend. When the market becomes more (less) liquid, all commodity prices tend to move up (down) in the same direction. As a result, such liquidity-driven price co-movement across different commodity classes is likely to generate aggregate price shocks and amplify inflation volatility. As a practical implication of our findings, policy makers ought to be able to draw valuable lessons from monitoring daily commodity liquidity dynamics as a timely bellwether for incipient inflation and to more effectively control inflation risk.     

Art in Africa: Hedonic price analysis of the South African fine art auction market, 2009–2014

Real asset markets are characterized by illiquidity and heterogeneous assets, presenting challenges to price estimators. Use of a new dataset of 7,553 auction fine art lots brought to market in South Africa, for 2009–14, allows us to examine the full sales hedonic price estimator over a wide set of characteristics. Results validate full sale hedonic pricing: Identities of artists, medium and genre, dating characteristics, and physical characteristics of artwork are significant. External validity of hedonic pricing is supported by out-of-sample price prediction for 40 individual artists. Auction house catalogue presentation of art work also proves correlated with realized auction prices. Art as an asset finds support: art prices move countercyclically with GDP and domestic equity markets, pro-cyclically with off-shore equity markets, implying a risk diversification role. JEL Codes: D1, L8. Keywords: hedonic price equation, art market, South Africa Word Count: 9467 (including all Tables, Figures, References).     

Common dynamic factors in driving commodity prices: Implications of a generalized dynamic factor model

Identification of the price drivers of commodity prices is difficult because economic indicators reflect commodity prices with lead or lag, and some commodities have spillover effects to other commodities. A generalized dynamic factor model is capable of accounting for these characteristics and can be applied to panel data of monthly returns of a vast variety of commodities. The empirical results indicate that four common dynamic factors exist that account for much of the variation in the commodity returns. The identification of the common dynamic factors is conducted by interchangeably creeping an economic indicator into the commodity return panel data and examining the ratio of variance explained by the common factors. The four common factors correspond to the U.S. inflation rate, the world industrial production, the world stock index, and the price of crude oil.     

A mark-up pricing model for price simulations

This paper develops an input/output model of pricing using a mark-up pricing formula. The connection between mark-up pricing and competitive pricing is analyzed through the determination of sectoral equilibrium profit mark-up rates as a function of the profit rate and the capital intensity of each sector. The model is used to analyze the effects on relative prices and the aggregate price level of exogenous changes in the nominal wage rate, tax rates, the exchange rate and world prices. Exogenous changes in the prices of domestically produced commodities are modelled via the imposition of ad valorem tax rates, which yield a measure of the net effect of the exogenous changes. Simulations are carried out under passive price adjustment as well as adjustment with price ceilings. In this last instance the model calculates the endogenously determined reduction in profit mark-ups. Lastly, empirical results of various simulations are presented using data from the Mexican economy.     

Long-run waves or short-run fluctuations – what establishes the correlation between oil and food prices?

The strong correlation between food prices and energy prices has gained much attention in the public debate. In this article, we focus on the so-called excess co-movement, which is the correlation between crude oil price and the prices of food commodities after controlling for economic activity. We use a frequency domain Granger causality test to analyse short-run and long-run relationships between crude oil prices and prices of food commodities. For important biofuel inputs like maize, soybeans, rapeseed and EU sugar, we find evidence for long-run Granger causality in particular for the period after 2007. This supports the hypothesis that the increasing biofuel production creates the link between the prices of crude oil and food commodities. However, we also find short-run Granger causality for various food commodities. This result is more in line with herd behaviour or speculation in commodity markets.     

Futures basis,inventory and commodity price volatility: An empirical analysis

We employ a large dataset of physical inventory data on 21 different commodities for the period 1993–2011 to empirically analyze the behavior of commodity prices and their volatility as predicted by the theory of storage. We examine two main issues. First, we analyze the relationship between inventory and the shape of the forward curve. Low (high) inventory is associated with forward curves in backwardation (contango), as the theory of storage predicts. Second, we show that price volatility is a decreasing function of inventory for the majority of commodities in our sample. This effect is more pronounced in backwardated markets. Our findings are robust with respect to alternative inventory measures and over the recent commodity price boom.     

Cross market predictions for commodity prices

This paper shows that commodity prices can be predicted from cross-market information by establishing long-run cross-market commodity price equilibrium models, which are characterized by a linear relation between prices across different markets. Using data from five representative commodity markets (oil, copper, gold, corn, and cattle) during the period 2005–2018, we demonstrate that oil and industrial metal markets have formed a long-run price equilibrium with other markets across different commodity families. However, agriculture and gold markets do not tend to have long-run price equilibrium relations with other commodity markets. Furthermore, we show that the absence of a price equilibrium is due to the cross-market liquidity interference effect. After we control for the liquidity effect, long-run cross-market commodity price equilibrium relations are reestablished for agriculture and gold markets. These results can aid in demonstrating that liquidity can capture most of the missing information that is not reflected in price dynamics in less liquid markets, such as agriculture and gold markets. Therefore, less liquid commodity price predictions require both prices and liquidity levels from cross-markets, while liquid commodity prices (oil and metal) can be predicted based solely on cross-market prices.     

Jumps and volatility dynamics in agricultural commodity spot prices

The spot commodities market exhibits both extreme volatility and price spikes, which lead to heavy-tailed distributions of price change and autocorrelation. This article uses various Lévy jump models to capture these features in a panel of agricultural commodities observed between January 1990 and February 2014. The results show that Levy jump models outperform the continuous Gaussian model. Our results prove that assuming a constant volatility or even a deterministic volatility and drift structure of agricultural commodity spot prices is not realistic and is less efficient than the stochastic assumption. The findings demonstrate an interesting correlation between volatility and jumps for a given commodity i, but no relationship between the volatility of commodity i and the probability of jumps of commodity j.     

基于我国成品油定价机制的石油双寡头行为分析

我国成品油定价实行最高零售限价已三年有余,价格管制在平抑国际油价冲击的同时也产生许多问题,管制效果备受争议,政府的补贴政策也饱受诟病.基于成品油最高零售限价,石油双寡头、寡头与政府之间的博弈行为表明:最高零售限价不能解决高油价问题,对形成成品油市场的竞争格局作用不大,而且政府在与石油寡头的博弈中处于弱势地位,针对国有石油企业的补贴政策将造成财政资金的浪费.我国成品油定价改革方向为市场定价,根本问题是尚未形成垄断竞争的市场格局.成品油定价改革应在培育垄断竞争格局的基础上,改革燃油税为从价计征、完善石油储备体系,为市场化定价改革铺平道路.     

Commodity Prices and the Terms of Trade

On combining national terms-of-trade data for developing countries with world prices of internationally traded primary commodities, it is found that variation in the world prices of three or fewer key exported commodities account for 50% or more of the annual variation in the terms of trade of a typical developing country. A considerable fraction of the variation is specific to a particular commodity and, given that the overall importance of primary commodities differs across developing countries, it is possible to account for much of the heterogeneity across them. It is concluded that commodity price fluctuations should be central features of two related literatures: studies of business cycle transmission across developing and industrialized nations, and empirical work aimed at constructing perpetual claims on developing country incomes as suggested by Shiller in 1995.     

Interdependencies in the energy–bioenergy–food price systems: A cointegration analysis

The present paper studies the interdependencies between the energy, bioenergy and food prices. We develop a vertically integrated multi-input, multi-output market model with two channels of price transmission: a direct biofuel channel and an indirect input channel. We test the theoretical hypothesis by applying time-series analytical mechanisms to nine major traded agricultural commodity prices, including corn, wheat, rice, sugar, soybeans, cotton, banana, sorghum and tea, along with one weighted average world crude oil price. The data consists of 783 weekly observations extending from January 1994 to December 2008. The empirical findings confirm the theoretical hypothesis that the prices for crude oil and agricultural commodities are interdependent including also commodities not directly used in bioenergy production: an increase in oil price by 1 $/barrel increases the agricultural commodity prices between 0.10 $/tonne and 1.80 $/tonne. Contrary to the theoretical predictions, the indirect input channel of price transmission is found to be small and statistically insignificant.     

A frequency domain causality investigation between futures and spot prices of Indian commodity markets

This paper examines the direction, strength and extent of causal relationship between futures and spot prices of Indian commodity markets using frequency domain approach of Breitung and Candelon (2006). Frequency domain analysis offers an effective alternative tool by examining the causality in frequency domain, whereas in traditional econometric causality analysis tools focus only on the time domain. Daily futures and spot price series on eight commodities from the Indian commodity exchanges (MCX and NCDEX) were examined for the period 3rd January, 2008 to 31st December, 2012. The results of frequency domain analysis suggest that there is a strong uni-directional relationship from futures to spot in almost all the selected commodities. This indicates that futures market has a powerful price discovery function in all the selected commodities; which in turn indicates the efficiency of Indian commodity futures market.     

Hedonic prices and cost/benefit analysis

Hedonic prices have been used to evaluate the willingness to pay for attributes. We reformulate the notion of hedonic price from a composite price on housing to a unit price on traded quantities, in conformity with long run competitive equilibrium theory. This formulation was suggested (but not developed) by Rosen (J. Polit. Econ.82, No. 1 (1974), 34–35). By first characterizing an efficient allocation of consumers to space, we show that hedonic unit prices can be understood as a bid-rent function which supports the efficient allocation. This is despite the fact that the lots over which consumers bid are themselves endogenous. We show that unit hedonic prices reveal preferences in a manner different from composite hedonic expenditures.     

国际大宗商品价格至中国上下游价格的时变传导效应*

本文采用国际大宗商品价格、中国国内总产出、货币政策变量和上下游价格数据，通过构建多个TVPVARSV模型考察了1997—2017年国际大宗商品价格向中国上下游价格的时变传导效应。研究表明，由于受到来自国际生产资料和生活资料分类价格变动趋势异质性、上下游价格传导路径异质性和价格信息传导机制结构性变动的影响，国际大宗商品价格向中国上下游价格的传导效应呈现时变特征。国际大宗商品价格对国内上游价格传导稳定，但对下游价格传导长期下降，这解释了我国PPI和CPI走势的偏离现象。     

COMMODITY BALANCES AND NATIONAL ACCOUNTS: A SAM PERSPECTIVE

This paper is concerned with the treatment of commodity and activity balances in a national accounts context. It makes use of a general method for reducing the size of a social accounting matrix (SAM) by apportioning the elements of one or more accounts to the rest. The national accounts are looked at in terms of their usefulness for policy analysis, not least analysis of the impact of price changes. The SNA convention of separately distinguishing activities and commodities is endorsed. However, in contrast to the SNA, it is argued that for analytic purposes commodity transactions should be recorded at market prices, with a separate account for each of the markets for a given commodity in which a distinct price prevails. The SNA SAM is shown to be a reduced form of the SAM resulting from this recommended treatment of commodity transactions, while a further round of reductions (apportionments) yields SAMs which are familiar from input-output analysis, in which activities and commodities are not separately distinguished. It is argued that no special effort would be required to produce SAMs in which commodity balances are recorded at market prices as recommended here (the necessary data are also required to produce the conventional SNA tableaux), and that all reduced form versions of such SAMs, including the SNA, are inferior as a basis for the analysis of price effects on the structure of production.