The effect of economic policy uncertainty on China’s housing market

Huang, W.; Lin, Wen‐Yuan; Ning, Shao-Lin

doi:10.1016/j.najef.2018.09.008

Cited by 29 publications

(17 citation statements)

References 50 publications

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“…Another very interesting aspect of research, indirectly dealing with cyclicality, is associated with the problem of the effectiveness of stimulating it through government interventions (Zhou, 2018) and the presentation of how uncertainty of economic policy affects the housing market (Huang et al, 2018). Discussion concerned with the identification of periodic components, including cyclical component in the time series characterizing the construction market, in particular the housing market are explored in other studies (Bengtsson et al, 2018;Devaney and Xiao, 2017;Fan et al, 2019;Gabauer and Gupta, 2020;Liow and Newell, 2016;Yépez, 2018).…”

Section: Construction Market -Analysis Of Effects On the Economymentioning

confidence: 99%

Comparison on Subannual Seasonality of Building Construction in European Countries

Mach¹,

Zmarzły²,

Dąbrowski³

et al. 2020

ERSJ

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Purpose: The objective of this study involves the determination of cyclical characteristics that occur on the European construction market. Design/Methodology/Approach: In the research implementation process, time-frequency analysis was used to identify and analyze cyclicalities in the construction market. Findings: The results clearly demonstrate the absence of a homogeneous construction market in the investigated countries. The diversity of the European construction market is revealed by the various responses to the periods corresponding to the ups and downs of the economy. Practical Implications: The present research provides grounds for the clear indication of specific countries and cyclical characteristics on the construction market in them to define guidelines suitable for the identification of adequate scenarios for the development of construction markets in them. Originality/value: The conclusion derived from the study is associated with the classification of construction markets and identification of various responses of individual markets to the occurrence of macroeconomic or microeconomic stimuli.

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Section: Construction Market -Analysis Of Effects On the Economymentioning

confidence: 99%

Comparison on Subannual Seasonality of Building Construction in European Countries

Mach¹,

Zmarzły²,

Dąbrowski³

et al. 2020

ERSJ

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“…reports on a comprehensive study concerned with the determinants affecting the volatility of the housing market (Tupenaite, Kanapeckiene, and Naimaviciene, 2017). Another very interesting approach, indirectly dealing with cyclicality, is the problem of the effectiveness of influencing it through government intervention (Zhou, 2018) and a presentation of how economic policy uncertainty affects the real estate market (Huang, Lin, and Ning, 2018). The final important issue raised with regard to the housing market is concerned with the risk associated with investing in it.…”

Section: Multi-faceted Analysis Of the Housing Construction Market And Its Effects On Economymentioning

confidence: 99%

Application of FFT transformation and coherence analysis to identify the slow-changing cyclical component on the housing market

Mach¹,

Zmarzły²,

Dąbrowski³

et al. 2020

Prace Naukowe Uniwersitetu Ekonomicznego we Wrocławiu

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The paper reports the results of a study concerned with the identification and definition of time and frequency parameters regarding the cyclical phenomenon on the housing construction market. The cyclical component analysis in the frequency domain was identified * The paper presents the personal opinions of the authors and does not necessarily reflect the official position of the Narodowy Bank Polski or the

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“…En segundo lugar, la incertidumbre política puede incrementar los costos de financiamiento, inversión y producción a partir de la afectación de los canales de oferta y demanda, con lo que desincentiva la inversión y se contrae la economía (Sahinoz y Erdogan, 2018;Gholipour, 2019;Jiang et al, 2019). Igualmente, la EPU incrementa el riesgo en los mercados financieros, particularmente en lo relacionado con la menor protección del gobierno a estos mercados (Cai, et al, 2020;Huang et al, 2018). De la misma manera, la EPU impacta otras variables macrofinancieras fundamentales, como el tipo de cambio, la inflación, la tasa de interés y las primas de riesgo (Ponlaem et al, 2020;Shaikh, 2020;Li y Zhong, 2020).…”

Section: Introductionunclassified

Impacto de la Incertidumbre de la Política Económica y del tipo de cambio en el mercado accionario a nivel internacional (2001-2020): un análisis de causalidad y cointegración de panel

Castro

Rodríguez²,

Olivares³

2021

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Este artículo analiza el impacto que la incertidumbre de la política económica local (EPU) y el tipo de cambio tienen sobre el mercado accionario de 14 países durante el periodo (2001-2020). Se busca analizar si existe un efecto diferenciado de la EPU y del tipo de cambio entre los mercados de países no desarrollados y desarrollados. Para ello se estiman tres modelos de panel cointegrado: uno general, uno para países no desarrollados y otro para desarrollados, y se realizan las pruebas de causalidad de Granger para los tres paneles. Los resultados sugieren que existen relaciones significativas y negativas de la EPU, y en el tipo de cambio hacia la bolsa de valores; los índices bursátiles de países desarrollados son más sensibles a la EPU y tipo de cambio. Se comprueba que existe causalidad unidireccional de la EPU hacia el índice bursátil.

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The effect of economic policy uncertainty on China’s housing market

Cited by 29 publications

References 50 publications

Comparison on Subannual Seasonality of Building Construction in European Countries

Comparison on Subannual Seasonality of Building Construction in European Countries

Application of FFT transformation and coherence analysis to identify the slow-changing cyclical component on the housing market

Impacto de la Incertidumbre de la Política Económica y del tipo de cambio en el mercado accionario a nivel internacional (2001-2020): un análisis de causalidad y cointegración de panel

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