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 Did the COVID-19 Pandemic Crisis Affect Housing Prices Evenly in the U.S.?

2021 ◽  
Vol 13 (21) ◽  
pp. 12277
Author(s):  
Xinba Li ◽  
Chuanrong Zhang
Keyword(s):  
Real Estate ◽  
Spatial Patterns ◽  
Price Change ◽  
Housing Prices ◽  
Housing Price ◽  
Real Estate Market ◽  
Moran’S I ◽  
Moran's I ◽  
Price Changes ◽  
The U.S

While it is well-known that housing prices generally increased in the United States (U.S.) during the COVID-19 pandemic crisis, to the best of our knowledge, there has been no research conducted to understand the spatial patterns and heterogeneity of housing price changes in the U.S. real estate market during the crisis. There has been less attention on the consequences of this pandemic, in terms of the spatial distribution of housing price changes in the U.S. The objective of this study was to explore the spatial patterns and heterogeneous distribution of housing price change rates across different areas of the U.S. real estate market during the COVID-19 pandemic. We calculated the global Moran’s I, Anselin’s local Moran’s I, and Getis-Ord’s statistics of the housing price change rates in 2856 U.S. counties. The following two major findings were obtained: (1) The influence of the COVID-19 pandemic crisis on housing price change varied across space in the U.S. The patterns not only differed from metropolitan areas to rural areas, but also varied from one metropolitan area to another. (2) It seems that COVID-19 made Americans more cautious about buying property in densely populated urban downtowns that had higher levels of virus infection; therefore, it was found that during the COVID-19 pandemic year of 2020–2021, the housing price hot spots were typically located in more affordable suburbs, smaller cities, and areas away from high-cost, high-density urban downtowns. This study may be helpful for understanding the relationship between the COVID-19 pandemic and the real estate market, as well as human behaviors in response to the pandemic.

scholarly journals Research on Information Spillover Effect of the RMB Exchange Rate and Stock Market Based on R-Vine Copula

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Xiaofei Wu ◽  
Shuzhen Zhu ◽  
Suxue Wang
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Spillover Effect ◽  
Dependence Structure ◽  
Chinese Stock Market ◽  
Single Currency ◽  
Rmb Exchange Rate ◽  
The Exchange Rate ◽  
Information Spillover ◽  
Vine Copula

This paper studies the dependence structure and information spillover effect between the RMB exchange rate and the Chinese stock market based on the R-vine copula model and spillover index model. The results show that due to the occurrence of the trade war, the correlation between the three RMB exchange rate indicators and the two stock market indicators increases in varying degrees. In the intensity of spillover, the information spillover of the stock market to the RMB exchange rate is significantly enhanced, and the information spillover intensity of the RMB Index to the stock market increases, but the information spillover of the US dollar and Hong Kong dollar exchange rates to the stock market is significantly weakened. In the direction of spillover, the spillover of the RMB Index and stock market shows the characteristics of alternating transformation, while the exchange rate of a single currency and the stock market shows a one-way transmission from the stock market to the exchange rate. Additionally, the information spillover between the RMB exchange rate and the stock market is closely related to the degree of market openness. The RMB Index contains more information than the exchange rate of a single currency.

RMB Exchange Rate Forecasting Model Based on Exponential Smoothing and Gray Correlation

2013 ◽  
Vol 401-403 ◽  
pp. 1480-1483
Author(s):  
Bing Xiang Liu ◽  
Yan Wu ◽  
Xiang Cheng
Keyword(s):  
Exchange Rate ◽  
Linear Trend ◽  
Exponential Smoothing ◽  
Exchange Rate Forecasting ◽  
Dynamic Changes ◽  
Rmb Exchange Rate ◽  
Gray Correlation ◽  
Correlation Factors ◽  
The U.S ◽  
Better Than

This paper through the establishment of a Holts linear trend exponential smoothing model, make use of SPSS Clementine for 2005-2010 analysis and forecast of RMB against the U.S. dollar exchange rate, the predicted curve is better than the expectations of the prediction accuracy. To further analyze the dynamic changes of the RMB against the U.S. dollar, method of gray correlation factors that affect the exchange rate is used

Does government debt affect the exchange rate? An empirical analysis of the U.S.—Canadian exchange rate

1990 ◽  
Vol 42 (4) ◽  
pp. 279-288 ◽  
Author(s):  
W. Douglas McMillin ◽  
Faik Koray
Keyword(s):  
Exchange Rate ◽  
Empirical Analysis ◽  
Government Debt ◽  
The Exchange Rate ◽  
The U.S

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 Effects of the exchange rate on international prices of pulp and paper in Brazilian currency

CERNE ◽  
2010 ◽  
Vol 16 (2) ◽  
pp. 137-144
Author(s):  
Naisy Silva Soares ◽  
Eliane Pinheiro de Sousa ◽  
Márcio Lopes da Silva
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Policy ◽  
Pulp And Paper ◽  
International Prices ◽  
Rate Policy ◽  
The Exchange Rate ◽  
The U.S

This study aimed to analyze effects of the exchange rate adopted in Brazil as well as pulp and paper prices in the U.S. on pulp and paper prices in Brazilian currency, from April 2003 to February 2009. To attain that, the shift-share method was used, and analysis results indicated that price variations in Brazilian currency were more strongly influenced by exchange rate variations than by variations in dollar prices, demonstrating the importance of the exchange rate policy adopted by Brazil in the behavior of pulp and paper prices.

scholarly journals The Effectiveness of the Elliott Waves Theory to Forecast Financial Markets: Evidence from the Currency Market

2017 ◽  
Vol 10 (6) ◽  
pp. 1
Author(s):  
Eugenio D’Angelo ◽  
Giulio Grimaldi
Keyword(s):  
Exchange Rate ◽  
Financial Markets ◽  
Technical Analysis ◽  
Great Accuracy ◽  
Fundamental Analysis ◽  
Currency Markets ◽  
Currency Market ◽  
The Exchange Rate ◽  
The U.S

The purpose of this paper is to investigate the capability of a technical analysis to be used as a valuable tool in forecasting financial markets. After discussing the primary theoretical and methodological differences that oppose the fundamental analysis and technical analysis and introducing the Elliott waves theory, the paper focuses on the results obtained after applying this method to the currency market. The results show that during the period from 2009-2015, the exchange rate between the U.S. dollar and euro could be forecasted with great accuracy. A potential future pattern is also proposed for the exchange rate beginning in March 2017. The research confirmed the usefulness of Elliott’s model for predicting currency markets, and the effectiveness of the fundamental analysis theories generally adopted for academic studies was evaluated.

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

U.S.-China Exchange Rate Negotiation: Stakeholders' Participation and Strategy Deployment

2011 ◽  
Vol 13 (3) ◽  
pp. 1-23 ◽  
Author(s):  
Emily Yixuan Cao ◽  
Yong Cao ◽  
Rashmi Prasad ◽  
Zhengping Shen
Keyword(s):  
United States ◽  
Exchange Rate ◽  
Exchange Rates ◽  
Domestic Politics ◽  
Historical Review ◽  
The United States ◽  
Negotiation Strategy ◽  
Negotiation Strategies ◽  
The Exchange Rate ◽  
The U.S

Exchange rates influence a country's trading capability, foreign reserves and competitiveness. Recently, the exchange rate between the Chinese RMB and the U.S. dollar has been a contentious issue in both the United States and China. In this paper, we conduct a historical review of how the United States deployed negotiation strategies with China on the exchange rate issue and consider the degree to which it follows theoretical expectations. We then analyze the changing nature of the factors which shape exchange rate negotiations between the two nations in projecting alternative scenarios for the future of conflict resolution between the U.S. and China on this issue. We predict that the U.S. is likely to continue alternating between competition and collaboration, a negotiation cycle influenced by U.S. domestic politics, and China is less likely to continue with accommodation and compromise. The sequencing and timing of each nation's negotiation strategy will lead to widely divergent consequences for the management of exchange rates and the world economy.

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