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.     

Financialization of food. Modelling the time-varying relation between agricultural prices and stock market dynamics

This article studies the correlation of agricultural prices with stock market dynamics. We discuss the possible role of financial and macroeconomic factors in driving this time-varying relation, with the aim of understanding what caused positive correlation between agricultural commodities and stocks in recent years. While previous works on commodity-equity correlation have focused on broad commodity indices, we study 16 agricultural prices, in order to assess patterns that are specific to agricultural commodities but also differences across markets. We show that an explanation based on a combination of financialization and financial crisis is consistent with the empirical evidence in most markets, while global demand factors don’t appear to play a significant role. The correlation between agricultural prices and stock market returns tends to increase during periods of financial turmoil. The impact of financial turmoil on the correlation gets stronger as the share of financial investors in agricultural derivatives markets rises. Our findings suggest that the influence of financial shocks on agricultural prices should decrease as global financial tensions settle down but also that, as long as agricultural markets are ‘financialized’, it might rise again when it is less needed, i.e. in the presence of new financial turmoil.     

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.     

Have food and financial markets integrated?

This article analyses comovements and discusses possibly greater market integration between aggregate food commodity and stock prices in the period 1990 to 2012. Return correlations, price return distributions, cointegration and Granger-causalities are tested in subsamples on monthly FAO Food Price Index and MSCI World Stock Market Index. Empirical results suggest that while there is only weak indication of greater comovements concurrent with structural changes such as changed agricultural policies, new demand due to growth in emerging markets and energy mandates and the financialization of food markets since the early 2000s, they did start to increase substantially in particular during the financial stress of the Lehman crisis and the Great Recession. While structural changes may have amplified price linkages across markets, results do not suggest that they are the key factors for greater price comovements. Instead, the effects of the late-2000s recession as a time of great economic weakness and uncertainty may have changed concurrently the behaviour of both food and financial market participants, such that different market prices exhibit large comovements.     

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.     

DYNAMICS BETWEEN NORTH AMERICAN AND EUROPEAN AGRICULTURAL FUTURES PRICES DURING TURMOIL AND FINANCIALIZATION

North American and European agricultural futures markets faced significant changes in recent years, i.e., the financialization which originated in the USA, the increase of futures trading in Europe and the recent price turmoils in international commodity markets. We analyse the long‐ and short‐run dynamics between North American and European agricultural futures prices during these institutional changes. The empirical results show that the US markets lead in terms of price transmissions and volatility spillovers. US markets, however, predominantly react to deviations from the long‐run equilibrium which indicates a rising impact of European agricultural markets on a global scale.     

The transmission from equity markets to commodity markets in crises periods

This article investigates the transmission from equity markets to commodity markets during two major financial crises, namely the Subprime Mortgage and the Sovereign Debt Crises. We perform an analysis on sub-stages from 3 January 2003 to 31 October 2013 to capture the price behaviour of both equity and commodity markets. Two financial crises indicators, VIX and CDS, are used to represent fear of a crisis. We find that correlations between commodity and equity markets are time-varying and highly volatile during a financial crisis. While sharing some common features, commodities cannot be considered a homogeneous asset class. Segmentation characteristics of commodity markets disappear in times of financial crises, reducing their substitutability as an investment portfolio for asset diversification purposes. Through our test for Granger causality, we find the existence of transmission during a financial crisis. Volatility spillover effect also plays a major role as transmission mechanisms. After the collapse of Lehman Brothers, commodities decoupled from the VIX rather soon, and there is an increase in correlation with the CDS. In addition, we find the decoupling effect of most commodities show insignificant correlations with the Dow Jones, VIX and CDS after the Greek debt restructuring.     

News and correlations of CEEC-3 financial markets

We employ DCC-MGARCH models to investigate conditional correlations between six CEEC-3 financial markets. In general, the highest correlations exist between Hungary and Poland in foreign exchange and stock markets. Short-term money markets are somewhat isolated from each other. We find that the associations of CEEC-3 exchange rates versus euro are weaker than those versus the US dollar. The persistence of the effect of shocks on the time-varying correlations is strongest for foreign exchange and stock markets, indicating a tendency toward contagion. In searching for the origins of financial market volatility in the CEEC-3, we uncover some evidence of Granger-causality on the foreign exchange markets. Finally, using a pool model, we investigate the impact of euro area, US, and CEEC-3 news on the correlations. Apart from ECB monetary policy news, we observe no broad effects of international news on correlations; instead, local news exerts an influence, which suggests a dominance of country- or market-specific circumstances.     

Should emerging market investors buy commodities?

One reason that investors hold commodities is to receive diversification benefits. However, while an extensive set of existing studies demonstrate diversification benefits when investors hold international stocks or bonds, they are generally silent on the implications of holding commodities. Using an asset pricing framework, we investigate the benefits to investors from holding commodities, both individually and in portfolios. Generally, commodity and stock markets are integrated, although there are time-varying benefits to investors that are subject to sample period selection and investment horizon. We show that Asian investors receive positive risk adjusted returns in gold and rice markets but not in any of the other commodity markets investigated. The risk adjusted returns are time-varying: during the Asian financial crisis risk adjusted returns were negative – a penalty for investing in commodities – whereas during the global financial crisis the reverse was true and investors earned positive excess returns. The time-varying nature of the benefits that arise from diversification in commodities and their breakdown during periods of crisis, highlight the problems that investors may face when using commodities for long-term investment in addition to traditional holdings of stocks and bonds.     

Market efficiency in agricultural futures markets

Market efficiency and unbiasedness are tested in four agricultural commodity futures markets - live cattle, hogs, corn, and soybean meal - using cointegration and error correction models with GQARCH-in-mean processes. Results indicate each market is unbiased in the long run, although cattle, hogs and corn futures markets exhibit short-run inefficiencies and pricing biases. Models for cattle and corn outperform futures prices in out-of-sample forecasting. Results also suggest short-run time-varying risk premiums in cattle and hog futures 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.     

Correlations and volatility spillovers across commodity and stock markets: Linking energies,food, and gold

This paper employs a VAR-GARCH model to investigate the return links and volatility transmission between the S&P 500 and commodity price indices for energy, food, gold and beverages over the turbulent period from 2000 to 2011. Understanding the price behavior of commodity prices and the volatility transmission mechanism between these markets and the stock exchanges are crucial for each participant, including governments, traders, portfolio managers, consumers, and producers. For return and volatility spillover, the results show significant transmission among the S&P 500 and commodity markets. The past shocks and volatility of the S&P 500 strongly influenced the oil and gold markets. This study finds that the highest conditional correlations are between the S&P 500 and gold index and the S&P 500 and WTI index. We also analyze the optimal weights and hedge ratios for commodities/S&P 500 portfolio holdings using the estimates for each index. Overall, our findings illustrate several important implications for portfolio hedgers for making optimal portfolio allocations, engaging in risk management and forecasting future volatility in equity and commodity markets.     

Herding,anti-herding behaviour in metal commodities futures: a novel portfolio-based approach

The purpose of this article is twofold. Motivated by the heated debate on the financialization of commodities, we examine the existence of herding behaviour in metal commodities futures. In order to identify any time-dependent properties reflected in time-varying parameters, we employ the overlapping rolling window regression technique. The empirical evidence confirms a time-varying anti-herding behaviour before the global financial crisis and the absence of herding or anti-herding behaviour during the crisis. Next we attempt to formally establish the link between the documented anti-herding behaviour and portfolio management with the use of dynamic conditional correlations via the DCC-GARCH family multivariate modelling. After specifying the correlations, an in-sample recursive dynamic Markowitz portfolio is constructed and monitored. By doing so, we attribute the anti-herding behaviour to different portfolio positioning and rebalancing. On the other hand, in the absence of herding or anti-herding behaviour, we document a shift in the correlations and covariances of the commodity futures especially during the crisis, resulting in a decrease of the portfolio weights together with a substantial cash flow towards the risk-free asset.     

The effect of oil prices on stock prices: fresh evidence from asymmetric causality tests

This article investigates the causal impact of oil prices on stock prices in each G7 market as well as in the world market. An asymmetric causality test developed by Hatemi-J is used for this purpose. Since the underlying data appears to be non-normal with time-varying volatility, we use bootstrap simulations with leverage adjustments in order to produce more reliable critical values than the asymptotic ones. Based on symmetric causality tests, we find no causal effect of oil prices on the stock prices of the world market or any of the G7 countries. However, when we apply an asymmetric causality test, we find that increasing oil prices cause stock prices to rise in the world, the U.S. and Japan while decreasing oil prices cause stock prices to fall in Germany. This may imply that the world, the U.S. and Japanese stock markets consider increases in oil prices as an indicator of good news as this may mean that there is an increase in oil demand due to an expected growth in the economy while the German stock market treats decreasing oil prices as a signal of an expected contraction in the economy.     

Return spillovers around the globe: A network approach

We study the connectedness of a sample of 40 stock markets across five continents using daily closing prices and return spillovers based on Granger causality. All possible 1560 return spillovers between 40 markets create a complex network of relationships between equity markets around the world. Apart from analyzing the topological and time-varying properties of the created networks, we also identify the determinants of the connectedness of equity markets over time. Adjusting for non-synchronous trading, our modelling approach leads to evidence that the probability of return spillover from a given stock market to other markets increases with market volatility and market size and decreases with higher foreign exchange volatility. We empirically show that the temporal proximity between closing hours is important for information propagation; therefore, choosing markets that trade during similar hours bears an additional risk to investors because the probability of return spillovers increases.     

China's liberalizing stock market,crude oil,and safe-haven assets: A linkage study based on a novel multivariate wavelet-vine copula approach

China is the world's largest oil importer, and therefore the correlations between stock indices and highly volatile oil prices deserve close examination when investing in China's gradually liberalizing stock market. Another concern for international investors is whether safe-haven assets can reduce portfolio risks for investment in China. The paper makes two main contributions. First, we develop a novel method of examining a multivariate dependence structure by combining wavelet analysis with the vine copula model. Second, we apply the proposed methodology to study the correlations between China's liberalizing stock market, petroleum, and safe-haven assets at different frequencies. We find that the multidimensional dependence of these assets has been altered as a result of the 2008 global financial crisis. Moreover, the vine structures exhibit dependence patterns that vary over time horizons, indicating that the multidimensional dependence is sensitive to time scales.     

Time-varying dependence in European equity markets: A contagion and investor sentiment driven analysis

In the light of the global financial crisis and sovereign debt crisis, this paper investigates the dependence patterns in 24 European equity markets from January 5, 2004 to July 1, 2016. We further examine whether these stressful events trigger contagion. Given that investors tend to behave irrationally in turmoil periods, we add to the literature by studying the effect of investor sentiment on markets correlations. Our results reveal heterogeneity in the time-varying dependence and across markets. Contagion is confirmed in turbulent times, a spillover effect from periphery euro area being detected. We find that similar sentiments increase correlations, especially in crises, suggesting that investors’ perceptions are an important channel of moving markets in the same direction. Furthermore, negative sentiments, such as fear or pessimism, amplify the linkages between markets. Our results offer useful insights to policy makers for reacting timely to financial shocks and for designing a more integrated market.     

Volatility and dynamic conditional correlations of worldwide emerging and frontier markets

This study examines the relationship between time-varying correlations and conditional volatility among 32 worldwide emerging and frontier stock markets and the MSCI World stock market index from January 2000 to December 2012. Correlations are estimated in the standard and asymmetric dynamic conditional correlation model frameworks. The results can be summarized by three main findings: (1) asymmetry in volatility is not a common phenomenon in emerging and frontier markets; (2) asymmetry in correlations is found only with respect to the Hungarian stock market; and (3) the relationship between volatility and correlations is positive and significant in most countries. Thus, diversification benefits decrease during periods of higher volatility.     

Non-Walrasian equilibria and the law of one price

We present a market game which features multiple posts for each commodity. We use this framework to illustrate the idea that in non-Walrasian markets, where individual activities influence market clearing prices, there are equilibria where commodities are exchanged simultaneously in two posts at different prices, thus defying the ‘law of one price’. Such equilibria are compatible with an apparent arbitrage possibility, which dissipates whenever individuals try to take advantage of it.     

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.