Commodity-price volatility and macroeconomic spillovers: Evidence from nine emerging markets

The recent decade has witnessed wild swings in global commodity prices, with large increases preceding the Global Financial Crisis and steep declines following the crash. Many emerging markets find themselves destabilized by these fluctuations, not only when price increases lead to currency appreciations and reduced competitiveness, but also when price decreases cause capital outflows and deteriorations in the balance of payments. This study examines the volatility processes of six major commodity prices, before applying Multivariate GARCH analysis to examine spillovers among important commodity prices and output, exchange rates, interest rates and inflation in major emerging markets. While each commodity and each country behaves differently, we find that Chile is most closely tied to the copper price, and Indonesia to oil and tin, while neighbors such as Brazil and the Philippines are less affected. Perhaps surprisingly, Russia is found to be highly insulated from fluctuations in world oil prices.     

Price effects of steel commodities on worldwide stock market returns

We analyze the price effects of steel commodities on stock market returns in emerging and developed economies. These commodities have recently attained increased media exposure due to the rise in the U.S. steel import tariffs, which pose the threat of reducing global demand for steel products and, consequently, lowering prices abroad. However, little has been investigated on the impact of steel commodity prices on worldwide stock market returns. By performing structural VAR and GARCH techniques on a weekly-frequency time series from 2002 to 2015, we find positive and statistically significant effects of linear and non-linear steel commodity price shocks on real stock returns in the commodity markets. In the highly diversified financial markets such as U.S. and Germany, real stock returns do not significantly respond to steel commodity price shocks, although we find highly significant positive responses from developed economies such as Australia, Japan and South Korea. Results are robust to different model specifications. Our evidence suggests that higher tariffs on steel imports represent a larger disadvantage to commodity markets which are more largely impacted by steel commodity prices. We provide economic policy implications based on recent literature.     

Monetary policy,global liquidity and commodity price dynamics

This paper examines the interactions between money, interest rates, goods and commodity prices at a global level. Aggregated data for major OECD countries are therefore analysed in a cointegrated VAR framework. Our empirical results for the period ranging from the 1970s to 2008 support the view that, when controlling for interest rate changes and thus different monetary policy stances, money (defined as a global liquidity aggregate) is still a key factor to determine the long-run homogeneity of commodity and goods prices movements.     

The impact of the global business cycle on small open economies: A FAVAR approach for Canada

Building on the growing evidence on the importance of large data sets for empirical macroeconomic modeling, we use a large factor-augmented VAR (FAVAR) model to analyze how global developments affect the Canadian economy. We focus on several sources of shocks, including commodity prices, foreign economic activity, and foreign interest rates, and evaluate the impact of each shock on key Canadian macroeconomic variables. Results indicate that Canada is primarily exposed to shocks to foreign activity and to commodity prices. In contrast, the impact of shocks to global interest rates and global inflation is substantially lower.     

Bond market co-movements,expected inflation and the GBP-USD equilibrium real exchange rate

Since the end of the fixed rates in 1973 and after the European Monetary System (EMS) sterling dismissal in 1992, the value of the pound has undergone large cyclical fluctuations on average. Of particular interest to policy makers is the understanding of whether such movements are consistent with the lack or not of a correction mechanism to some long-run equilibrium. The purpose of the present study is to understand those dynamics, how the external value of the British sterling (GBP) relative to the US dollar (USD) evolved during the recent floating experiences, and what have been the driving forces. In this paper we assume the real exchange rate to be determined by forces relating to the goods and capital market in a general equilibrium framework. This entails testing the purchasing power parity (PPP) and the uncovered interest parity (UIP) together. In doing so, we model inflation expectations explicitly. Our findings have two important implications, both for monetary policy. First, we show that some of the observed changes in the bilateral real exchange rate cannot be solely attributed to changes in inflation rates, but, also to capital markets. Secondly, we find a weaker behavior of the US bond rate on international markets, possibly explained by the special US dollar status of World reserve currency.     

Debt-deflation,financial market stress and regime change – Evidence from Europe using MRVAR

Since the economic meltdown of 2008–2009 many euro area countries have experienced disinflation, and even deflation, in a period with large debt overhang, creating the conditions for continuing financial market stress. As disinflation and deflation push up the real interest rate, while growth and income declines, the leveraging problem becomes more severe and the economy risks shifting into a regime with high insolvency risk, high financial stress, rising credit spreads, possibly accompanied by strong adverse macroeconomic feedback loops. Investigating the consequences of those magnifying feedback loops, given the debt-deflation, we demonstrate the possibility of unstable dynamics and downward spirals in the presence of regime-dependent macro feedback loops, using a theoretical model with decentralized matching mechanisms on both labor and financial markets. To explore the amplifying linkages between deflation, output, labor and financial markets, we employ a new solution procedure called Non-linear Model Predictive Control (NMPC) to solve our models variants for out-of-steady-state dynamics. We apply a four variable Multi-Regime VAR (MRVAR) model with regime dependent (generalized) impulse-response functions (GIRFs) to study deflationary and financial risk drivers empirically for Southern and Northern EU countries. New measures for financial risk drivers are employed and GIRFs for output, inflation rates, interest rates and financial stress are explored. The econometric results of the MRVAR are roughly in line with the theoretical regime change model.     

Nonlinear adjustment,purchasing power parity and the role of nominal exchange rates and prices

Although the literature on purchasing power parity (PPP) is rich in controversy, the relative contribution of prices and nominal exchange rates to real exchange rate movements which restore PPP disequilibria has rarely been put under any close scrutiny. This paper as a first step applies a cointegrated VAR framework to test for stationary real exchange rates and linear adjustments in prices and nominal exchange rates. As a second step, ESTR error correction models are fitted to test whether nonlinear error correctional behaviour characterizes the data. The results clearly indicate that the nominal exchange rate is responsible for the nonlinear mean reverting behaviour in real exchange rates and also mainly drives overall adjustment. Applying dynamic stochastic simulations based on the estimated models, this study also confirms recent results that the half-life times of real exchange rate shocks are significantly smaller than the consensus benchmark of 3–5 years.     

What determines the long-term correlation between oil prices and exchange rates?

In this study, we obtain the long-term correlation between oil prices and exchange rates by employing the dynamic conditional correlation-mixed data sampling (DCC-MIDAS) model. We then identify the factors that influence the long-term correlation using panel data analysis. We find that the long-run correlations between oil prices and exchange rates are negative for all oil-exchange rate markets except Japan. We also find that both inflation and term spread have negative effects, while the risk-free interest rate has a positive effect on the long-term correlation between oil prices and exchange rates. Importantly, the empirical results show that an increase in inflation will significantly damage the real value of the currency itself.     

Inflation and interest rate derivatives for FX risk management: Implications for exporting firms under real wealth

Firms that export goods face risks such as product price, cost, and exchange rate risks. Price and cost risks can substantially reduce the FX hedging performance in real wealth. We thus investigate hedging strategies that are intended to improve the performance of the FX hedge in real terms using inflation and interest rate derivatives. The impact of these additional instruments is not clear and has only been briefly analyzed in the hedging literature so far. For this purpose, we derive variance-minimizing hedge positions of an exporting firm. A cointegrated VAR and bootstrap methods are used to evaluate the efficiencies of several hedging strategies. While inflation derivatives work better in the short run, interest rate derivatives perform better over longer hedge horizons.     

Structural break threshold VARs for predicting US recessions using the spread

This paper proposes a model to predict recessions that accounts for non‐linearity and a structural break when the spread between long‐ and short‐term interest rates is the leading indicator. Estimation and model selection procedures allow us to estimate and identify time‐varying non‐linearity in a VAR. The structural break threshold VAR (SBTVAR) predicts better the timing of recessions than models with constant threshold or with only a break. Using real‐time data, the SBTVAR with spread as leading indicator is able to anticipate correctly the timing of the 2001 recession. Copyright © 2006 John Wiley & Sons, Ltd.     

International linkages between short-term real interest rates

Whereas previous studies have focused on the causal relation between nominal interest rates, this paper examines causal relationships between real rates for the United States and six other countries. Based on evidence from our full sample we find that U.S. and foreign interest rates are not highly informative for one another. This would suggest that even if the United States is regarded as a large player in international financial markets this does not necessarily translate into the transmission of U.S. real interest rates to other countries. However, an examination of various sub-periods of our sample reveals that this conclusion may be sensitive to the U.S. monetary policy regime. We also report results for linkages between European countries which indicate that Germany provides some information on real interest rates in France and the United Kingdom, but not in Italy. An analysis of various sub-periods for the European countries show that the result for France is not robust, with German rates having an impact only in the first period through March 1983. This latter evidence does not provide strong support for the hypothesis that Germany's monetary policy plays a dominant role in the European Monetary System. In general, we would argue that domestic factors play a prominent role in determining real interest rates, quite independently from the influence of interest rates from abroad.     

The impact of VIX on China’s financial market: A new perspective based on high-dimensional and time-varying methods

Based on the new perspective of high-dimensional and time-varying methods, this paper analyzes the contagion effects of US financial market volatility on China’s nine financial sub-markets. The results show evidence of non-linear Granger causality from the US financial volatility (VIX) to the China’s financial markets. Increased US financial volatility has a negative next-day impact on the stock, bond, fund, interest rate, foreign exchange, industrial product and agricultural product markets, and a positive next-day impact on the gold and real estate markets. US financial volatility has the greatest impact on industrial product market, following by stock, agricultural product, fund, real estate, bond, gold, foreign exchange, and interest rates. Major risk events such as the global financial crisis can cause an enhanced contagion effect of US financial volatility to China's financial markets. This paper supports the achievements of China's actions to prevent and resolve major financial risks in the period of the COVID-19 epidemic.     

货币政策和居民收入对房价影响的实证分析

近年来,房地产价格持续快速增长,影响房价的因素有很多,文章以辽宁省为例,建立贷款利率、货币供应量、城镇居民可支配收入和房屋销售价格的VAR模型,进行实证研究。利用EVIEWS7.0软件对模型进行脉冲响应函数和方差分解分析,得出贷款利率、货币供应量和居民可支配收入均对房价产生正向影响,并且居民可支配收入的贡献度最强,五年以上贷款利率贡献度最弱。     

Unconventional monetary policy and financialization of commodities

Our paper has two stages of analysis. First of all, we examine whether volatility spillover between US equity and commodity markets has significantly changed with the heavy influx of index traders in commodity derivatives markets, which is a phenomenon referred to as financialization. Given that previous findings show institutional traders enter into commodity markets at high liquidity episodes, in the second stage of our analysis, we investigate the particular impact of US quantitative easing policy on spillover between commodity and US stocks. Our results indicate that during financialization period, spillover from stocks to commodities have significantly increased for almost all commodities. More importantly, we show that quantitative easing is one of the underlying reasons for increasing volatility spillover between markets. Including interest rate, currency factors or default spread does not diminish the explicit role of quantitative easing on spillovers.     

Is there a third way to EMU for the EU accession countries?

The actual mainstream view of academics emphasizes the so-called “two-corner solution” with either completely fixed or independently floating exchange rates. We will argue in this paper that the requirements for fixed rates are rather too restrictive to be successful. On the other hand, the advantage of an independent float is only valid for small open economies under the assumption of exchange rate movements closely related to movements in the fundamentals. We suggest as a “third way”, a strategy of flexible exchange rate targeting where central banks simultaneously manage interest rates and exchange rates in a way that guarantees both the achievement of domestic macroeconomic objectives and an equilibrium on the international financial markets.     

Dependent relationships between Chinese commodity markets and the international financial market: Evidence from quantile time-frequency analysis

In this article, the quantile time–frequency method is utilized to study the dependence of Chinese commodities on the international financial market. The impacts of risk management and diversification benefits of different portfolios are examined by calculating the reduction in downside risk. Moreover, we estimate and compare Sharpe Ratios (SRs) and Generalized Sharpe Ratios (GSRs) based on the frequencies of the investigated portfolios. Our empirical results reveal a strong asymmetric response from Chinese commodity markets. Specifically, we find that gold is a safe-haven asset, and due to negative correlations found at lower quantiles in medium and long term, an increase in the USD index damages bull commodity markets but boosts bear conditions under long-term investments, and negative (positive) tail correlations with interest rates (IRs) in bull (bear) markets are observed. It is proven that WTI can decrease short-run risks while USD and GOLD are more efficient in the diversification of downside risk. Adding international commodities may not improve the returns of Chinese commodities at given risk levels in the short and medium term through SRs and GSRs. In brief, investors should consider these dependence structures and modes of risk management in terms of time and frequency.     

利率在控制房地产投资规模中的作用

根据宏观经济学中最基本IS-LM模型建立了房地产市场的均衡产出和投资模型,并找出利率影响货币政策和均衡投资额的关键因子.在此基础上结合模型中的关键影响因子综合分析造成我国近年来利率对于房地产投资规模调控不力局面的原因.最后结合美国的相关经验,提出对我国改进利率调控机制的建议.     

The exchange rate system and macroeconomic fluctuations in Sub-Saharan Africa

In this paper, we investigate the sources of macroeconomic fluctuations in Sub-Saharan African (SSA) countries with particular attention to the exchange rate system. We use a structural Vector Autoregression (VAR) model with limited capital mobility and long run restrictions to identify the shocks. Supply and terms of trade shocks tend to dominate output movements in the CFA and non-CFA countries alike. However, terms of trade shocks tend to influence the CFA zone to a greater extent and there seems to be a higher influence of demand shocks on output and the real exchange rates in the non-CFA countries.     

A fractional cointegration var analysis of exchange rate dynamics

In their seminal work, Baillie and Bollerslev (1994) carried out an analysis of deviations from the cointegrating relationship of seven important exchange rates. They suggested that the exchange rate series possess long memory and therefore such processes could be well described as fractionally integrated processes. Hence, the influence of shocks to the equilibrium exchange rates may only vanish at very long horizons. In this work we analyze the cointegrating structure of five exchange rates to the US dollar, namely the British pound, the Euro, the Swedish Krona, the Canadian Dollar and the Swiss Franc. The series possess long memory and we show that they can be modeled through fractional integration. In fact, standard cointegration is rejected with the more traditional Johansen CVAR methodology. By using the recently introduced Fractionally Cointegrated VAR by Johansen and Nielsen (2012) we provide a cointegrating relationship taking into account fractional integration.     

Do house price developments spillover across euro area countries? Evidence from a global VAR

This paper empirically assesses the prospects for house price spillovers in the euro area, where co-movement in house prices across countries may be particularly relevant given a general trend with monetary union toward increasing linkages in trade, financial markets, and general economic conditions. A global VAR is estimated for three housing demand variables (real house prices, real per capita income, and the cost of borrowing, captured by a real long-term interest rate) on the basis of quarterly data for 7 euro area countries (Belgium, Germany, Ireland, Spain, France, Italy and the Netherlands), which together comprise nearly 90% of euro area GDP, over the period 1971–2009. The results suggest limited house price spillovers in the euro area, albeit with evidence of some overshooting in the first year after the shock, followed by a long run aggregate euro area impact of country-specific changes in real house prices related in part to the country’s economic weight. This contrasts with the impacts of a shock to domestic long-term interest rates, causing a permanent shift in house prices after 2–3 years. Underlying this aggregate development are rather heterogeneous house price spillovers at the country level, with a strong importance for weights – either economic or geographic – in governing their general magnitude. More generally, the impact of financing costs on house prices appears to have grown though time.