Research on the Effect of the Exchange Rate of RMB on Housing Prices Based on the VAR Model

ICCREM 2014 ◽  
2014 ◽  
Author(s):  
Xiaotuo Qiao ◽  
Haifeng Guo
Keyword(s):  
Exchange Rate ◽  
Housing Prices ◽  
Var Model ◽  
The Exchange Rate

scholarly journals Can RMB Exchange Rate Expectations Explain the Fluctuations of China’s Housing Prices?

2020 ◽  
pp. 211-233
Author(s):  
Chunni Wang
Keyword(s):  
Exchange Rate ◽  
Housing Prices ◽  
Housing Price ◽  
Chinese Government ◽  
Rmb Exchange Rate ◽  
Price Fluctuations ◽  
Exchange Rate Expectations ◽  
The Exchange Rate ◽  
The U.S ◽  
Rate Expectation

Unlike existing literature that has focused on the relationship between exchange rate and housing price, this paper studies the housing price fluctuations from the perspective of RMB exchange rate expectation to resolve the dilemma “guarantee housing price or exchange rate” after the sub-prime mortgage crisis. This paper shows that housing prices responded negatively to RMB appreciation expectation from 1999 to 2008, and positively from 2009 to 2019. After 2009, exchange rate expectation is the Granger causality of housing prices. After introducing the U.S. Economic Policy Uncertainty (EPU) released by Baker et al.(2016), the explanatory power of exchange rate expectations to housing price fluctuations declines but it's still significant. When EPU increased, housing prices responded negatively after a brief positive response. Besides exchange rate expectation, several unobservable factors with rich economic implications can explain the fluctuations of housing prices in China in the interval of 2006M01–2018M12. The empirical results show that the degree of Chinese government reversal intervention, interest rate spread between China and the U.S., and EPU can explain the exchange rate expectation. The government can control the degree of reversal intervention to affect the exchange rate expectation and realize the housing price control indirectly.

scholarly journals Econometric Model to Estimate Defaults on Payment in the Spanish Financial Sector in Oliver Wyman’s Stress Tests

2016 ◽  
Vol 3 (1) ◽  
pp. 24
Author(s):  
Salvador Climent-Serrano
Keyword(s):  
Exchange Rate ◽  
Historical Data ◽  
Econometric Model ◽  
Stock Exchange ◽  
Housing Prices ◽  
Financial Sector ◽  
Stress Tests ◽  
Economic Variables ◽  
Model Based ◽  
The Exchange Rate

This work develops an econometric model based on the exogenous economic variables used in Oliver Wyman´s report. In this case the model is used in order to estimate late payments (NPLs) by Spanish credit entities. A model based on variables considered to be optimal to quantify impact on the NPLs is developed by studying the aforementioned variables, modifying them and eliminating any which are superfluous. Furthermore, whether or not the model is optimal for long periods of time is corroborated. This is due to the fact that the scenario in Oliver Wyman´s report from September 2012 (Wyman 2012) is based on 30 years of Spanish economical historical data, as stated in the report itself. The results indicate the variables that have impact on defaults. The increase in housing prices, the Madrid Stock Exchange Index, the Exchange Rate the euro against USD. The Euribor 12 months and the industries Credit to other residents, decreases the delinquency. The NPLs also fell by transfers from riskier assets to SAREB. However, these results are different if the economy is growing or in recession. So the results will not be optimal but the appropriate model is employed.

scholarly journals RMB Exchange Rate and China’s Economic Growth: The Empirical Analysis from a Structural VAR Model

2017 ◽  
Vol 9 (7) ◽  
pp. 189
Author(s):  
Cancan Su ◽  
Jia Wu
Keyword(s):  
Exchange Rate ◽  
Granger Causality ◽  
Mutual Effect ◽  
Structural Var ◽  
Var Model ◽  
Causality Test ◽  
Real Gdp ◽  
The Exchange Rate ◽  
Reform And Opening Up ◽  
The Relationship

This paper analyzes the relationship between the exchange rate and the real GDP of China in the long period from 1952 to 2014 using a structural VAR model. We examine the mutual effect of the two variables in three periods: The results show that there is no obvious relationship between the exchange rate and real GDP before China’s reform and opening-up period. However, a significant positive correlation is found in the sample of 1979-1993, which means that the depreciation of the RMB is associated with the output increases. The direction between the exchange rate and real GDP becomes negative after 1994, indicating that RMB appreciates with the output increases in this period. In addition, based on Granger causality test, we found the exchange rate could Granger causes GDP after 1978, but there is no Granger causality connection between the two variables before 1978.

scholarly journals Impacts of Exchange Rate and Economic, Political, Cultural, Infrastructural, and Environmental Indicators on Tourism in Iran

2021 ◽  
Vol 25 ◽  
pp. e11
Author(s):  
Ali Sarchami ◽  
Mohsen Zayandehrodi ◽  
Seyyed Abdulmajid Jalaee
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Environmental Indicators ◽  
Var Model ◽  
Vector Autoregressive ◽  
Factors Affecting ◽  
Research Findings ◽  
The Exchange Rate ◽  
Tourism Revenue ◽  
Analyze Data

Known as the second most profitable industry worldwide, tourism is now very important to states and can have a prominent role in their economic growth. Therefore, it is necessary to analyze the factors affecting tourism. In addition to the exchange rate, these factors include economic, political, cultural, infrastructural, and environmental indicators, all of which were analyzed in this study. For this purpose, a vector autoregressive (VAR) model was developed to analyze data of Iran from 1981 to 2018. According to the research findings, the exchange rate and economic, political, cultural, infrastructural, and environmental composite indicators had significant impacts on Iran’s tourism revenue.

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

Pengaruh Faktor Fundamental, Risiko Sistematis Dan Ekonomi Makro Terhadap Return Saham Syariah Yang Tergabung Di Jakarta Islamic Index (JII) Pada Periode 2010 – 2014

2017 ◽  
Vol 24 (1) ◽  
pp. 54-70
Author(s):  
Hasanah Setyowati ◽  
Riyanti Ningsih
Keyword(s):  
Exchange Rate ◽  
Stock Exchange ◽  
Systematic Risk ◽  
Secondary Data ◽  
Analysis Model ◽  
Macroeconomic Factors ◽  
Return On Equity ◽  
Equity Ratio ◽  
Regression Techniques ◽  
The Exchange Rate

This study aimed to obtain empirical evidence on the influence of fundamental factors, systematic risk and macroeconomics on the returns Islamic stock of companies incorporated in the Jakarta Islamic Index in 2010-2014. The variables used were the fundamental factors that are proxied by Earning Per Share (EPS), Return on Equity (ROE), Debt to Equity Ratio (DER); Systematic risk is proxied by Beta Shares; macroeconomic factors is proxied by the inflation rate and the exchange rate. The samples of this study are the enterprises incorporated in Jakarta Islamic Index (JII) at the Indonesian Stock Exchange. The sampling method was using purposive sampling. There were 12 samples of Islamic stocks that meet the criteria to be used as samples. The analysis model used is multiple linear regression techniques and the type of data used is secondary data. The study found that all variables, which are Earning Per Share (EPS), Return on Equity (ROE), Debt to Equity Ratio (DER), Beta stock, inflation and the exchange rate do not significantly affect the return of sharia stock either simultaneously or partially.

On the Exchange Rate Policy

2010 ◽  
pp. 21-28
Author(s):  
K. Yudaeva
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Inflation Targeting ◽  
Exchange Rate Policy ◽  
Institutional Changes ◽  
Crisis Period ◽  
Local Currency ◽  
High Inflation ◽  
Rate Policy ◽  
The Exchange Rate

The level of trust in the local currency in Russia is very low largely because of relatively high inflation. As a result, Bank of Russia during crisis times can not afford monetary policy loosening and has to fight devaluation expectations. To change the situation in the post-crisis period Russia needs to live through a continuous period of low inflation. Modified inflation targeting can help achieve such a result. However, it should be amended with institutional changes, particularly development of hedging instruments.

The influence of inflation targeting on the pass-through effect of the exchange rate

2018 ◽  
pp. 70-84
Author(s):  
Ph. S. Kartaev ◽  
Yu. I. Yakimova
Keyword(s):  
Developing Countries ◽  
Monetary Policy ◽  
Exchange Rate ◽  
Inflation Targeting ◽  
Policy Regime ◽  
Short And Long Term ◽  
The Exchange Rate ◽  
Pass Through ◽  
The Impact

The paper studies the impact of the transition to the inflation targeting regime on the magnitude of the pass-through effect of the exchange rate to prices. We analyze cross-country panel data on developed and developing countries. It is shown that the transition to this regime of monetary policy contributes to a significant reduction in both the short- and long-term pass-through effects. This decline is stronger in developing countries. We identify the main channels that ensure the influence of the monetary policy regime on the pass-through effect, and examine their performance. In addition, we analyze the data of time series for Russia. It was concluded that even there the transition to inflation targeting led to a decrease in the dependence of the level of inflation on fluctuations in the ruble exchange rate.

The Role of Different Channels in Transmitting Monetary Policy into Output and Price in Vietnam

2015 ◽  
pp. 20-40
Author(s):  
Vinh Nguyen Thi Thuy
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Interest Rate ◽  
Money Supply ◽  
Monetary Transmission ◽  
Impulse Response Functions ◽  
Short Run ◽  
The Exchange Rate ◽  
The Interest Rate ◽  
Interest Rate Channel

The paper investigates the mechanism of monetary transmission in Vietnam through different channels - namely the interest rate channel, the exchange rate channel, the asset channel and the credit channel for the period January 1995 - October 2009. This study applies VAR analysis to evaluate the monetary transmission mechanisms to output and price level. To compare the relative importance of different channels for transmitting monetary policy, the paper estimates the impulse response functions and variance decompositions of variables. The empirical results show that the changes in money supply have a significant impact on output rather than price in the short run. The impacts of money supply on price and output are stronger through the exchange rate and credit channels, but however, are weaker through the interest rate channel. The impacts of monetary policy on output and inflation may be erroneous through the equity price channel because of the lack of an established and well-functioning stock market.

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