Does global liquidity drive commodity prices?

This paper tackles the question of whether a cross-sectional perspective on monetary policy is capable of explaining movements in global commodity prices. In this vein, we contribute to the rich literature on global liquidity in two different ways: on the one hand, to achieve a global series in terms of common monetary policy shocks, we propose a distinction between common and idiosyncratic factors across economies, as proposed by Bai and Ng (2004). Our second innovation stems from the consideration of a Markov-switching vector error correction model when analyzing time-varying short-run dynamics. Having identified the long-run structure which includes a proportional relationship between commodity prices and global liquidity in the first step, our results indeed show that the impact of a global liquidity measure on different commodity prices is significant and varies over time. One regime approximately accounts for times where commodity prices significantly adjust to disequilibria, while the second regime is characterized by either a weak or no commodity price adjustment. The fact that global liquidity also reacts to disequilibria in a specific regime demonstrates the two-way causality between monetary policy and commodity prices.     

Liquidity effects on price and return co-movements in commodity futures markets

Commodity price comovement is an important research area in finance, and previous studies have investigated the determinants of price comovement using low-frequency (monthly or quarterly) macroeconomic data. In comparison, our paper attempts to scrutinize the liquidity effect on commodity prices and return movements based on daily data. Our findings contribute to the literature in three ways. First, we find significant positively correlated price movements across different commodity markets on a daily basis, and such comovement is driven by the cross-sectional liquidity spillover effect. Second, we observe that a cointegration relationship between individual commodity prices and the global price index can be established only if the liquidity effect is controlled. Finally, instantaneous daily liquidity shocks (i.e., innovation) exert a negative impact on daily commodity returns. However, liquidity shocks do not have a significant impact on monthly returns. Our findings are robust and have significant implications for macroeconomic policymaking, such as managing inflation risk.     

China's Imported Inflation and Global Commodity Prices

In this paper, we outline China's imported inflation via global commodity prices. We show that the prices of China's imported commodities are strongly related to global commodity prices. Meanwhile, the final goods prices from upstream industries are strongly influenced by global commodity prices. However, this effect is partially offset by the production process—that is, the final goods prices in downstream industries are generally less affected by global prices. This indicates that China's commodity market has a close link with global commodity markets. Therefore, high global commodity prices generally squeeze profits in China's downstream industries; upstream industries generally benefit from high global commodity prices.     

货币政策立场与大宗商品价格的非线性关系 ——基于大宗商品金融化程度的视角

选取2008年3月—2020年6月月度数据,运用TVP-SVAR-SV模型和MS-VAR模型研究货币政策立场与大宗商品价格的非线性关系。结果显示：货币政策立场对大宗商品价格具有显著的时变影响,短期效应明显大于长期效应;当金融化程度高时,货币政策立场对大宗商品价格的影响更强、持续时间更久;相比于预期到的货币政策,未预期到的货币政策冲击对大宗商品价格的影响更显著,表明货币政策立场的重要性。     

Commodity Spread Option with Cointegration

We derive the valuation formula of a European call option on the spread of two cointegrated commodity futures prices, based on the Gibson–Schwartz with cointegration (GSC) model. We also analyze the American commodity spread option including the early exercise premium representation and an analytical approximation valuation formulae with cointegration. In the numerical analysis, we compare the spread option values calculated by the GSC model and the Gibson–Schwartz (GS) model that ignores cointegration. Consistent with the intuition that the cointegration prevents the prices from diverging, the GSC model prices the commodity spread option lower than the GS model which have longer maturity of more than 6 years. In other words, the GS model may overprice the commodity spread options for those with longer maturity without taking account of cointegration. Thus, incorporating cointegration is important for valuation and hedging of long-term commodity spread options such as large scale oil refining plant developments.     

A two-factor cointegrated commodity price model with an application to spread option pricing

In this paper, we propose an easy-to-use yet comprehensive model for a system of cointegrated commodity prices. While retaining the exponential affine structure of previous approaches, our model allows for an arbitrary number of cointegration relationships. We show that the cointegration component allows capturing well-known features of commodity prices, i.e., upward sloping (contango) and downward sloping (backwardation) term-structures, smaller volatilities for longer maturities and an upward sloping correlation term structure. The model is calibrated to futures price data of ten commodities. The results provide compelling evidence of cointegration in the data. Implications for the prices of futures and options written on common commodity spreads (e.g., spark spread and crack spread) are thoroughly investigated.     

越南通货膨胀的成因与启示

该文深入剖析了越南通货膨胀的发展和成因,认为此次越南乃至整个世界范围内的通胀失控,既有一国内部的原因,也有全球经济环境的原因。首先全球范围内石油价格和粮食价格的上涨都对越南的通胀失控影响显著;其次越南本国的粮食价格飞涨、流动性过剩和宏观调控失误也是重要原因;最后文章认为应该警惕越南通货膨胀的对外输出作用、全球货币政策需协调配合,同时在此次全球性通货膨胀的背景下,我国应该密切关注通胀效应的国际传递,谨慎对待宏观调控。     

Liquidity commonality in commodities

We examine liquidity commonality in commodity futures markets. Using data from 16 agricultural, energy, industrial metal, precious metal, and livestock commodities, we show there is a strong systematic liquidity factor in commodities. Liquidity commonality was present in 1997–2003 when commodity prices were relatively stable and during the recent boom. There is some support for both “supply-side” and “demand-side” explanations for this commonality. We find no evidence of a consistent link between stock and commodity liquidity in general. Energy commodities appear to provide a better hedge against equity market liquidity risk than the other commodity families.     

Long term spread option valuation and hedging

This paper investigates the valuation and hedging of spread options on two commodity prices which in the long run are in dynamic equilibrium (i.e., cointegrated). The spread exhibits properties different from its two underlying commodity prices and should therefore be modelled directly. This approach offers significant advantages relative to the traditional two price methods since the correlation between two asset returns is notoriously hard to model. In this paper, we propose a two factor model for the spot spread and develop pricing and hedging formulae for options on spot and futures spreads. Two examples of spreads in energy markets – the crack spread between heating oil and WTI crude oil and the location spread between Brent blend and WTI crude oil – are analyzed to illustrate the results.     

Bank regulation,property prices and early warning systems for banking crises in OECD countries

Early warning systems (EWS) for banking crises generally omit bank capital, bank liquidity and property prices. Most work on EWS has been for global samples dominated by emerging market crises where time series data on bank capital adequacy and property prices are typically absent. We estimate logit crisis models for OECD countries, finding strong effects from capital adequacy and liquidity ratios as well as property prices, and can exclude traditional variables. Higher capital adequacy and liquidity ratios have a marked effect on the crisis probabilities, implying long-run benefits to offset some of the costs that such regulations may impose.     

Informational Frictions and Commodity Markets

This paper develops a model with a tractable log‐linear equilibrium to analyze the effects of informational frictions in commodity markets. By aggregating dispersed information about the strength of the global economy among goods producers whose production has complementarity, commodity prices serve as price signals to guide producers' production decisions and commodity demand. Our model highlights important feedback effects of informational noise originating from supply shocks and futures market trading on commodity demand and spot prices. Our analysis illustrates the weakness common in empirical studies on commodity markets of assuming that different types of shocks are publicly observable to market participants.     

Factor pricing in commodity futures and the role of liquidity

This paper empirically investigates the pricing factors and their associated risk premiums of commodity futures. Existing pricing factors in equity and bond markets, including market premium and term structure, are tested in commodity futures markets. Hedging pressure in commodity futures markets and momentum effects is also considered. This study combines these factors to discuss their importance in explaining commodity future returns, while the literature has studied these factors separately. One of the important pricing factors in equity and bond markets is liquidity, but its role as a pricing factor in commodity futures markets has not yet been studied. To our knowledge, this research is the first to study liquidity as a pricing factor in commodity futures. The risk premiums of two momentum factors and speculators’ hedging pressure range from 2% to 3% per month and are greater than the risk premiums of roll yield (0.8%) and liquidity (0.5%). The result of a significant liquidity premium suggests that liquidity is priced in commodity futures.     

Liquidity and the dynamic pattern of asset price adjustment: A global view

Global liquidity expansion has been very dynamic since 2001. Contrary to conventional wisdom, high money growth rates have not coincided with a concurrent rise in goods prices. At the same time, however, asset prices have increased sharply, significantly outpacing the subdued development in consumer prices. We investigate the interactions between money and goods and asset prices at the global level. Using aggregated data for major OECD countries, our VAR results support the view that different price elasticities on asset and goods markets explain the observed relative price change between asset classes and consumer goods.     

Analyst Disagreement,Mispricing, and Liquidity*

This paper documents a close link between mispricing and liquidity by investigating stocks with high analyst disagreement. Previous research finds that these stocks tend to be overpriced, but that prices correct downwards as uncertainty about earnings is resolved. Our analysis suggests that one reason mispricing has persisted through the years is that analyst disagreement coincides with high trading costs. We also show that in the cross‐section, the less liquid stocks tend to be more severely overpriced. Additionally, increases in aggregate market liquidity accelerate the convergence of prices to fundamentals. As a result, returns of the initially overpriced stocks are negatively correlated with the time series of innovations in aggregate market liquidity.     

Global financial crisis and rising connectedness in the international commodity markets

This paper documents a dramatic change in the nature of connectedness in global commodity prices following the 2008 global financial crisis. We show that co-dependence in price-changes among seven major commodity classes goes from a pre-crisis average of 14.82% to a strikingly larger average of 47.87% in the period following the crisis, and which has endured until now. Dynamic swings in price co-movements of such a scale present a clear concern for financial investors and are of immediate interest to a wider policy-maker audience. Of particular interest is the empirical behavior of the food commodity price index, whose contribution to the system dynamics rises from less than 20% in the period up to 2008, to more than 80% after. To dispel any concern that these finding may be method-specific, we demonstrate their invariance to modeling procedure by providing analogous-results using a pairwise Granger causality analysis, as well as different sub-sampling choices.     

经济增长、国际资源品价格与输入性通货膨胀——基于扩展的新凯恩斯菲利普斯曲线的实证分析

在新凯恩斯菲利普斯曲线模型中引入国际资源品价格变量、货币供应量、人民币名义汇率,扩展新凯恩斯菲利普斯曲线模型,并利用SVAR模型进行实证检验,结果表明,中国因素已经成为当前国际资源品价格上涨的主要动力,其影响力度强于美元流动性、弱于美元汇率;中国的经济增长、国际资源品价格上升和输入性通货膨胀具有共生关系;输入性通货膨胀因素的影响强于经济增长、货币供应量因素和人民币升值的影响;货币供应量对通货膨胀的影响具有滞后性。因此,应大力发展期货市场,鼓励国内大型企业参股或者控股国外资源开发公司的股权,加强政府对国际大宗商品采购的宏观指导;同时,应加速调整中国经济增长结构。     

Exchange market pressure in OECD and emerging economies: Domestic vs. external factors and capital flows in the old and new normal

We study the ways domestic and external global factors (such as risk appetite, global liquidity, U.S. monetary policy, and commodity prices) affected the exchange market pressure before and after the global financial crisis, as well as the role of these factors during the Federal Reserve's tapering episode. Utilizing a comprehensive database on capital controls, we investigate whether control measures have a significant impact on mitigating exchange market pressure associated with capital flows [net and gross]. Using quarterly data over the 2000–2014 period and a dynamic panel model estimation, we find that external factors played a significant role in driving exchange market pressure for both OECD countries and emerging market countries, with a larger impact on the latter. While the effect of net capital flows on exchange market pressure is muted, short-term gross portfolio inflows and outflows comprise important factors that account for exchange market pressure. Short-term portfolio flows and long-term foreign direct investment flows have a significant impact on exchange market pressure for emerging market economies and no significant effect for OECD countries. Capital controls seem to significantly reduce the exchange market pressure, although the economic size of this impact is highly dependent on the institutional quality.     

如何看待“人民币外升内贬”

2007年，国内物价上涨较快而人民币对美元保持升值态势，这种人民币对外购买力上升和对内购买力下降的现象引起社会各方面的普遍关注。该文首先从理论和实践方面分析了货币对外升值对内贬值的现象；其次指出人民币对内贬值的重要原因是流动性过剩；并认为人民币对美元升值的主要原因是美元走软。     

Liquidity risk and stock performance during the financial crisis

We investigate whether and how ex-ante liquidity risk affects realized stock returns during the global financial crisis of 2008–2009 in international equity markets. We find that stocks with higher pre-crisis return exposure to global market liquidity shocks experience larger price reductions during the crisis period. Our findings provide further insight into the comprehensive picture of the effect of liquidity risk on asset prices, especially in an international context and under different market conditions.     

Return and volatility co-movement in commodity futures markets: the effects of liquidity risk

Commodity markets are a widely researched topic in the field of finance. In this paper, we investigate the co-movement of return and volatility measures in different commodity futures markets and how these measures are affected by liquidity risk. First, we find that commodity returns display co-movement and that liquidity risk plays a key role in shaping asset return patterns. Moreover, we show that the volatilities of commodity returns co-move, and we demonstrate the role of liquidity risk in this joint pattern. We also find that the commodity markets we investigated share a common volatility factor that determines their joint volatility co-movement. Because liquidity risk affects both commodity returns and volatility shocks, it might be interpreted as the common causal factor driving both measures simultaneously. Therefore, we affirm the view that liquidity shocks are firmly related to two residual risks originating from both market return and market volatility. Finally, we also show that liquidity spillovers can significantly drive cross-sectional correlation dynamics.