scholarly journals THE EFFECTS ON COMMODITY PRICES OF EXTRAORDINARY MONETARY POLICY

2017 ◽  
Vol 49 (1) ◽  
pp. 83-96 ◽  
Author(s):  
AITBEK AMATOV ◽  
JEFFREY H. DORFMAN

AbstractThis article examines the relationship between Federal Reserve monetary policy and other macroeconomic indicators to both a broad commodity price index and an agricultural commodity price index by employing a vector error correction model. Excessive liquidity and the recent long period of ultralow interest rates appear to have played a statistically significant role in affecting prices in the commodities markets. The responses of commodity prices to monetary policy that we estimate generally conform to earlier findings, but the sensitivity of the responses appears different in the face of the unprecedented scope of recent Fed activism.

2016 ◽  
Vol 3 (2) ◽  
pp. 49
Author(s):  
Beverly Acquah

This study investigates the dynamic interrelationships among stock prices and selected macroeconomic indicators namely; economic activity, global commodity price index, inflation and interest rates in Ghana. By employing a Vector Autoregression (VAR) Model, the empirical results reveal that stock prices depreciate with an increase in global commodity prices and interest rates indicating a negative relationship. On the other hand, stock prices appreciate with an increase in inflation and economic activity indicating a positive relationship. Examining stock market variability on the selected macroeconomic variables also showed that inflation and interest rates respond negatively to changes in asset prices while the stock market itself is not found to be a leading indicator for economic activity. The evidence suggests that the listed equities on the GSE are a hedge against inflation in Ghana. Increasing economic activity over time is advantageous for the Ghanaian stock market.


2009 ◽  
Vol 41 (2) ◽  
pp. 521-528 ◽  
Author(s):  
Jungho Baek ◽  
Won W. Koo

This study examines the short- and long-run effects of changes in macroeconomic variables—agricultural commodity prices, interest rates and exchange rates—on the U.S. farm income. For this purpose, we adopt an autoregressive distributed lag (ARDL) approach to cointegration with quarterly data for 1989–2008. Results show that the exchange rate plays a crucial role in determining the long-ran behavior of U.S. farm income, but has little effect in the short-run. We also find that the commodity price and interest rate have been significant determinants of U.S. farm income in both the short- and long-run over the past two decades.


2021 ◽  
pp. 001946622199862
Author(s):  
Anshuman Jaswal ◽  
Bhavna Ranjan Ahuja

This article examines the impact of the US Quantitative Easing (QE) on the Indian economy. Against the backdrop of indications of economic slowdown worldwide and developing countries lowering the interest rates and restarting the treasury purchases, it aims to understand the influence US QE had on Indian economy and how it will impact way forward. Macroeconomic variables pertaining to India and the USA were examined from September 2008 to June 2019 (fortnightly data) using the vector error correction method model. It was found that the influence of the US monetary base on the Indian money supply was far more as compared to the US policy rate. Overall, the impact of QE on the Indian economy has not been as large as on the other economies of the world due to regular RBI intervention in terms of interest rates, exchange rates and other active monetary policy measures. JEL Classification Codes: E44, E52, E58, F32, O16


2021 ◽  
Vol 5 (2) ◽  
pp. Layouting
Author(s):  
Afla Afifa Aminarta ◽  
Mahrus Lutfi Adi Kurniawan

The Composite Stock Price Index (CSPI) is one indicator to determine economic growth. The Composite Stock Price Index (CSPI) is formed by counting the stocks listed on the Indonesia Stock Exchange (IDX). Macroeconomic conditions can influence the movement of the CSPI in a country. Macroeconomic indicators that affect the CSPI include inflation, exchange rates, and interest rates represented by the BI rate. This study aimed to determine how much influence the selected macroeconomic indicators had on the CSPI and determine the CSPI movement forecast. This study uses the Vector Error Correction Model (VECM) as an estimation method. The research shows that the inflation, exchange rate, and BI rate variables do not affect the CSPI in the short term, and only the exchange rate variable affects the long term. Forecasting performed on variables shows an over-optimistic forecast for the exchange rate and BI rate variables.


2019 ◽  
Vol 2 (2) ◽  
pp. 112-124
Author(s):  
Aulia Keiko Hubbansyah ◽  
Wurdaningsih

This study aims to analyze the impact of China’s economic growth on the Indonesian economy. In this analysis, the study adapted SVAR with block exogeneity consisting of blocks global variable (China’s economic growth and non-fuel global commodity prices growth) and domestic variable blocks (economic growth, inflation, real interest rates and Indonesia’s exchange rates). Using the data over the period from 1993q1-2017q2, this study found that the shock if China’s economic growth had a major impact on non-fuel global commodity price movements. Additionally, it is also acknowledged that China’s economic growth shock of 1.9 percent causes the Indonesian economy to grow by 0.85 percent. This was due to the appreciation of Rupiah exchange rate againt US Dollar by 1.6 percent, make inflation under control, while inflation in term of rising price index was insignficant


2019 ◽  
Vol 8 (1) ◽  
pp. 37-50
Author(s):  
Farhan Ahmed ◽  
Mushtaq Memon ◽  
Raza Ali

Monetary policy is always a dynamic attribute on commodity prices in the economy. This article examines the empirical relationship between monetary policy and commodity price by employing a vector auto-regression (VAR) Model to show its response in the case of Pakistan. In this paper, the research philosophy is employed based on Positivism with Deductive approach to recognizing the response of monetary policy shocks on commodity price. Recently, low-interest rates and excessive liquidity play a dynamic role in affecting the prices of the commodities market. Furthermore, the impact of monetary policy rate show significant result and seems to be huge in the economy of Pakistan massively. Besides, there is a stable relationship between monetary policy instrument and commodity prices even though the current financial crisis. 


2015 ◽  
Vol 42 (4) ◽  
pp. 622-640 ◽  
Author(s):  
Steven Landgraf ◽  
Abdur Chowdhury

Purpose – What caused the mid-2000s world commodity price “bubble” and the recent commodity price growth? Some have suggested that rapid global industrial growth over the past decade is the key driver of price growth. Others have argued that high commodity prices are a result of excessively loose monetary policy. The purpose of this paper is to extend the current research in this area by incorporating emerging economies, the BRIC (Brazil, Russia, India, and China) nations specifically, into global measures. Design/methodology/approach – The paper uses a vector error correction (VEC) model and computes variance decomposition and impulse response functions (IRFs). Findings – The empirical analysis suggest that the “demand channel” plays a large part in explaining commodity price growth whether BRIC countries are included or excluded from the analysis. However, excess liquidity may also play a part in explaining price growth. In addition, factoring in BRIC country data leads to the conclusion that unexpected movements in liquidity eventually explain more of the variation in commodity prices than unexpected demand shocks. This specific result is not caught in the sample that only incorporates advanced economies. Research limitations/implications – Despite the theory of Frankel (1986) and the findings of previous global vector autoregression (VAR)/VEC analyses, interest rates, especially shocks, have a minimal impact on consumer and commodity prices. Perhaps future studies should include an interest rate in their analysis that more closely reflects interest rates associated with information used by commodity consumers, producers, and investors. Some analyses such as Hua (1998) use the LIBOR rate, which is highly associated with developed financial markets in the advanced economies. Data quality and availability in the BRIC countries severely limited the length of the time period analyzed and the frequency of the data. Finding longer sample periods or higher frequency data can help to minimize bias in future research. In this paper, monetary aggregates and short-term interest rates were loosely connected to monetary policy. It would also be interesting to directly examine how special programs like quantitative easing influenced global liquidity. Practical implications – The results of the IRFs and variance decompositions confirm some of the previous findings reported in Belke et al. (2010), Hua (1998), and Swaray (2008) that suggest that positive shocks to liquidity positively impact commodity prices. In particular, both samples suggest that this is a short-run impact that occurs after two quarters. However, in the sample that includes information about liquidity from BRIC countries, excess liquidity positively affects commodity prices after six and seven quarters as well. The insignificant results of Granger causality tests of the effect of monetary variables on commodity prices suggests that this relationship is limited to movements in liquidity that is unexpected by agents in the system. These “shocks” could be attributed to a number of factors including exogenous monetary policy changes such as the unprecedented responses by the Federal Reserve during and after the 2008 global financial crisis. Social implications – First, empirical research that claims to analyze relationships at a “global” level needs to account for the growing influence of emerging economies and not simply the advanced economies. Otherwise, results may be biased as they were when too much of the forecast error variance in commodity prices was attributed to shocks to output when it should have been attributed to shocks to excess liquidity. Second, those who criticize expansionary monetary policy in the advanced countries, especially by the Federal Reserve, for pushing up commodity prices should also direct their attention toward monetary authorities elsewhere, especially the BRIC countries, since information on excess liquidity from these countries adds to the influence that global excess liquidity has on commodity prices. Third, monetary policymakers in the advanced countries need to closely monitor liquidity in the BRIC countries, since the discrepancies between the ALL and ADV samples suggests that BRIC excess liquidity affects commodity prices in a way that cannot be captured by examining advanced country data alone. Originality/value – No other paper in this area looked at the BRIC countries.


2014 ◽  
pp. 107-121 ◽  
Author(s):  
S. Andryushin

The paper analyzes monetary policy of the Bank of Russia from 2008 to 2014. It presents the dynamics of macroeconomic indicators testifying to inability of the Bank of Russia to transit to inflation targeting regime. It is shown that the presence of short-term interest rates in the top borders of the percentage corridor does not allow to consider the key rate as a basic tool of monetary policy. The article justifies that stability of domestic prices is impossible with-out exchange rate stability. It is proved that to decrease excessive volatility on national consumer and financial markets it is reasonable to apply a policy of managing financial account, actively using for this purpose direct and indirect control tools for the cross-border flows of the private and public capital.


ETIKONOMI ◽  
2020 ◽  
Vol 19 (2) ◽  
Author(s):  
Budiandru Budiandru ◽  
Sari Yuniarti

Investment financing is one of the operational activities of Islamic banking to encourage the real sector. This study aims to analyze the effect of economic turmoil on investment financing, analyze the response to investment financing, and analyze each variable's contribution in explaining the diversity of investment financing. This study uses monthly time series data from 2009 to 2020 using the Vector Error Correction Model (VECM) analysis. The results show that the exchange rate, inflation, and interest rates significantly affect Islamic banking investment financing in the long term. The response to investment financing is the fastest to achieve stability when it responds to shocks to the composite stock price index. Inflation is the most significant contribution in explaining diversity in investment financing. Islamic banking should increase the proportion of funding for investment. Customers can have a larger business scale to encourage economic growth, with investment financing increasing.JEL Classification: E22, G11, G24How to Cite:Budiandru., & Yuniarti, S. (2020). Economic Turmoil in Islamic Banking Investment. Etikonomi: Jurnal Ekonomi, 19(2), xx – xx. https://doi.org/10.15408/etk.v19i2.17206.


Author(s):  
Vladimír Pícha

This paper observes effect of money supply on the stock market through the portfolio balance channel as a transmission mechanism of monetary policy. National flow of funds accounts, specifically assets from US households’ portfolios, represent a key data source. Johansen’s cointegration methodology is employed in the empirical part of the paper to analyze both short term and long term relationships among researched variables. Estimates of vector error correction model help to reliably quantify intensity of the effect. Results show money supply excercises influence on valuation of S&P 500 index with 6 months lag. The impact is also distinguishable in the long run, whereas all observed asset classes can positively influence price of S&P 500. Findings are then contextualized in the concluding part of the paper using a monetary policy framework.


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