scholarly journals ARE PRICES STICKY IN LARGE DEVELOPING ECONOMIES? AN EMPIRICAL COMPARISON OF CHINA AND INDIA

2019 ◽  
Vol 64 (02) ◽  
pp. 341-363
Author(s):  
TERENCE TAI LEUNG CHONG ◽  
M. S. RAFIQ ◽  
TINGTING JUNI ZHU ◽  
ZHANG WU
Keyword(s):  
Monetary Policy ◽  
Vector Autoregression ◽  
Developing Economies ◽  
Monetary Policy Shocks ◽  
Empirical Comparison ◽  
China And India ◽  
Policy Shocks ◽  
Specific Factors ◽  
Price Movements

By employing the factor augmented vector autoregression (FAVAR) model, this paper compares the role of macroeconomic and sector-specific factors in price movements for China and India, taking into account the features unique to developing economies. We find that fluctuations in the aggregated prices in China are more persistent than the underlying disaggregated prices. Compared to China, prices in India respond more promptly to macroeconomic and monetary policy shocks. We also show that the urban CPI in China responds more sharply than rural CPI when facing sector-specific shocks, while the opposite is valid for India.

scholarly journals Impact of Monetary Policy Shocks on Macroeconomic Fundamentals: The Role of Asymmetry and Uncertainty in Nigeria

2019 ◽  
Vol 6 (11) ◽  
pp. 110-129
Author(s):  
LeeLee N. Deekor
Keyword(s):  
Monetary Policy ◽  
Developing Economies ◽  
Policy Instruments ◽  
Monetary Policy Shocks ◽  
Asymmetry Effect ◽  
Monetary Authorities ◽  
Policy Shocks ◽  
The Asymmetry ◽  
Effect Of Monetary Policy

That monetary policy is made in an environment of substantial uncertainty is only a commonplace knowledge. But for the peculiar vulnerability of monetary authorities to exogenous conditions in developing economies, we hypothesized for the role of uncertainty in the asymmetry effect of monetary policy. Essentially, we explore both money supply and interest rate process using linear and non-linear ARDL to show that political pressure such as variability in government borrowing has the potential to accelerate the asymmetry effect of monetary policy. We also observe the asymmetry effect of monetary policy to be sensitive to the choice of monetary policy indicator. These findings suggest that monetary authorities must consider not only the effectiveness or otherwise of monetary policy instruments to affect the target policy goals, but also the fact that not all the target variables react in a similar way to expansionary and contractionary monetary policy shocks.

scholarly journals MONETARY POLICY, HOUSING BOOMS, AND FINANCIAL (IM)BALANCES

2012 ◽  
Vol 17 (4) ◽  
pp. 830-860 ◽  
Author(s):  
Sandra Eickmeier ◽  
Boris Hofmann
Keyword(s):  
Monetary Policy ◽  
Private Sector ◽  
Global Financial Crisis ◽  
House Prices ◽  
Monetary Policy Shocks ◽  
Balance Sheets ◽  
Vector Autoregressive ◽  
Policy Shocks ◽  
The Global Financial Crisis

This paper applies a factor-augmented vector autoregressive model to U.S. data with the aim of analyzing monetary transmission via private sector balance sheets, credit risk spreads, and house prices and of exploring the role of monetary policy in the housing and credit boom prior to the global financial crisis. We find that monetary policy shocks have a persistent effect on house prices, real estate wealth, and private sector debt and a strong short-lived effect on risk spreads in money and mortgage markets. Moreover, the results suggest that monetary policy contributed considerably to the unsustainable precrisis developments in housing and credit markets. Although monetary policy shocks contributed discernibly at a late stage of the boom, feedback effects of other (macroeconomic and financial) shocks via lower policy rates kicked in earlier and appear to have been considerable.

Do foreign banks in India respond to global monetary policy shocks? A SVAR analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ameen Omar Shareef ◽  
K.P. Prabheesh
Keyword(s):  
Monetary Policy ◽  
Bank Lending ◽  
Foreign Bank ◽  
Foreign Banks ◽  
Monetary Policy Shocks ◽  
Content Type ◽  
Indian Economy ◽  
Policy Shocks ◽  
The Impact

Purpose This paper aims to examine the role of foreign banks in transmitting global monetary policy shocks to India. Further, the authors try to explore the international bank lending channel and analyze the impact of global monetary policy on Indian macroeconomic variables. Design/methodology/approach The authors use a structural break unit root test and structural vector autoregression on monthly data from 1998 to 2018. Findings The study finds that the global monetary policy is significantly determining foreign banks’ lending in India; the evidence of a portfolio re-balancing channel in the process of global monetary policy transmission to the Indian economy; the exchange rate is significantly explaining the foreign bank credit dynamism in India; and evidence of international monetary policy spillover to the Indian economy. Originality/value This is the first attempt to analyze the role of foreign banks in the transmission of global monetary policy shocks to India, where the literature availability is limited. The finding of ineffective domestic monetary policy on foreign bank lending opens the need for an in-depth and diversified analysis of the role of foreign banks in the transmission of domestic monetary policy.

scholarly journals The Monetary Transmission Mechanism: An SVAR Analysis of the Four Municipalities in China

2017 ◽  
Vol 5 (1) ◽  
pp. 81
Author(s):  
Lili Wu ◽  
Mingxu Li
Keyword(s):  
Monetary Policy ◽  
Housing Demand ◽  
Monetary Policy Shocks ◽  
Monthly Data ◽  
Vector Autoregressive ◽  
Supply Shocks ◽  
Svar Model ◽  
Policy Shocks ◽  
Transmission Of Monetary Policy

This paper explores the role of housing markets in the transmission of monetary policy shocks across four Chinese municipalities, namely Beijing, Shanghai, Tianjin, and Chongqing. The analysis is based on identification of housing demand shocks, monetary policy shocks and credit supply shocks through a Structural Vector Autoregressive (SVAR) model estimated using monthly data for four cities from July 2005 to December 2015. The empirical results show great differences in the four cities as far as the housing market is concerned. They also indicate that housing plays a stronger role in the transmission of monetary policy shocks in Beijing and Shanghai than in Tianjin and Chongqing. These results are reasonably robust across several model specifications.

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