Academic literature on the topic 'Quantile spillovers'
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Journal articles on the topic "Quantile spillovers"
Aldieri, Luigi, and Concetto Paolo Vinci. "Quantile Regression for Panel Data: An Empirical Approach for Knowledge Spillovers Endogeneity." International Journal of Economics and Finance 9, no. 7 (June 12, 2017): 106. http://dx.doi.org/10.5539/ijef.v9n7p106.
Full textShahzad, Syed Jawad Hussain, Mobeen Ur Rehman, and Rania Jammazi. "Spillovers from oil to precious metals: Quantile approaches." Resources Policy 61 (June 2019): 508–21. http://dx.doi.org/10.1016/j.resourpol.2018.05.002.
Full textFatima, Syeda Tamkeen. "Absorptive Capacity and FDI Spillovers: Evidence from Quantile Regressions." International Trade Journal 31, no. 4 (April 5, 2017): 360–85. http://dx.doi.org/10.1080/08853908.2017.1301277.
Full textKosteas, Vasilios D. "Foreign direct investment and productivity spillovers: a quantile analysis." International Economic Journal 22, no. 1 (March 2008): 25–41. http://dx.doi.org/10.1080/10168730801886929.
Full textUrom, Christian, Ilyes Abid, Khaled Guesmi, and Julien Chevallier. "Quantile spillovers and dependence between Bitcoin, equities and strategic commodities." Economic Modelling 93 (December 2020): 230–58. http://dx.doi.org/10.1016/j.econmod.2020.07.012.
Full textBouri, Elie, Brian Lucey, Tareq Saeed, and Xuan Vinh Vo. "Extreme spillovers across Asian-Pacific currencies: A quantile-based analysis." International Review of Financial Analysis 72 (November 2020): 101605. http://dx.doi.org/10.1016/j.irfa.2020.101605.
Full textMaderitsch, Robert. "Spillovers from the USA to stock markets in Asia: a quantile regression approach." Applied Economics 47, no. 44 (April 17, 2015): 4714–27. http://dx.doi.org/10.1080/00036846.2015.1034839.
Full textSu, Xianfang. "Measuring extreme risk spillovers across international stock markets: A quantile variance decomposition analysis." North American Journal of Economics and Finance 51 (January 2020): 101098. http://dx.doi.org/10.1016/j.najef.2019.101098.
Full textChuliá, Helena, Montserrat Guillén, and Jorge M. Uribe. "Spillovers from the United States to Latin American and G7 stock markets: A VAR quantile analysis." Emerging Markets Review 31 (June 2017): 32–46. http://dx.doi.org/10.1016/j.ememar.2017.01.001.
Full textVukovic, Darko, Moinak Maiti, Zoran Grubisic, Elena M. Grigorieva, and Michael Frömmel. "COVID-19 Pandemic: Is the Crypto Market a Safe Haven? The Impact of the First Wave." Sustainability 13, no. 15 (July 31, 2021): 8578. http://dx.doi.org/10.3390/su13158578.
Full textDissertations / Theses on the topic "Quantile spillovers"
Forsström, Viktor, and Karl Lind. "The Role of Uncertainty in the Scandinavian Banking Sector." Thesis, Linköpings universitet, Nationalekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-159670.
Full textGoulet, Clément. "Signal extractions with applications in finance." Thesis, Paris 1, 2017. http://www.theses.fr/2017PA01E066.
Full textThe main objective of this PhD dissertation is to set up new signal extraction techniques with applications in Finance. In our setting, a signal is defined in two ways. In the framework of investement strategies, a signal is a function which generates buy/sell orders. In denoising theory, a signal, is a function disrupted by some noise, that we want to recover. A first part of this PhD studies historical volatility spillovers around corporate earning announcements. Notably, we study whether a move by one point in the announcer historical volatility in time t will generate a move by beta percents in time t+1. We find evidences of volatility spillovers and we study their intensity across variables such as : the announcement outcome, the surprise effect, the announcer capitalization, the market sentiment regarding the announcer, and other variables. We illustrate our finding by a volatility arbitrage strategy. The second part of the dissertation adapts denoising techniques coming from imagery : wavelets and total variation methods, to forms of noise observed in finance. A first paper proposes an denoising algorithm for a signal disrupted by a noise with a spatially varying standard-deviation. A financial application to volatility modelling is proposed. A second paper adapts the Bayesian representation of the Rudin, Osher and Fatemi approach to asymmetric and leptokurtic noises. A financial application is proposed to the denoising of intra-day stock prices in order to implement a pattern recognition trading strategy
Chen, Yung-Shan, and 陳永善. "The Spillovers of Manufacture Industry in Taiwan--Quantile Regression." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/72223343326356838114.
Full textSkákala, Norbert. "Přelévá se ekonomická nejistota napříč zeměmi?" Master's thesis, 2020. http://www.nusl.cz/ntk/nusl-412196.
Full textGoulet, Clément. "Signal extractions with applications in finance." Thesis, 2017. http://www.theses.fr/2017PA01E066/document.
Full textThe main objective of this PhD dissertation is to set up new signal extraction techniques with applications in Finance. In our setting, a signal is defined in two ways. In the framework of investement strategies, a signal is a function which generates buy/sell orders. In denoising theory, a signal, is a function disrupted by some noise, that we want to recover. A first part of this PhD studies historical volatility spillovers around corporate earning announcements. Notably, we study whether a move by one point in the announcer historical volatility in time t will generate a move by beta percents in time t+1. We find evidences of volatility spillovers and we study their intensity across variables such as : the announcement outcome, the surprise effect, the announcer capitalization, the market sentiment regarding the announcer, and other variables. We illustrate our finding by a volatility arbitrage strategy. The second part of the dissertation adapts denoising techniques coming from imagery : wavelets and total variation methods, to forms of noise observed in finance. A first paper proposes an denoising algorithm for a signal disrupted by a noise with a spatially varying standard-deviation. A financial application to volatility modelling is proposed. A second paper adapts the Bayesian representation of the Rudin, Osher and Fatemi approach to asymmetric and leptokurtic noises. A financial application is proposed to the denoising of intra-day stock prices in order to implement a pattern recognition trading strategy
Tsai, Chia-Hua, and 蔡佳樺. "Quantile Regression Analysis of the Spillover Effect of US-Taiwan Stock Markets." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/95899433451087765416.
Full text國立交通大學
經營管理研究所
97
This paper employs quantile regression model to investigate if the price change spillover effect exists from U.S. to Taiwan. We discuss three market segments of Taiwan stock which comprise close-to-open, open-to-close and close-to-close returns respectively. We find that: Firstly, the price change spillover effect exists from U.S. to the close-to-open returns of Taiwan stock market. Furthermore, the price change spillover effect exists when stock price goes up or down greatly from 1995 to 1997. Secondly, the price change spillover effect exists from U.S. to the close-to-close returns of Taiwan stock market. However, there is no price change spillover effect when price goes down greatly and there is even negative effect from U.S. to Taiwan from 1995 to 1997. Thirdly, the overreaction effect exists from U.S. to the open-to-close returns of Taiwan except from 1995 to 1997. The overreaction effect only exists when price goes up or down greatly from 1995 to 1997, and there is no overreaction effect when price goes down greatly in Financial Tsunami.
LIN, CHIH-YI, and 林芝儀. "Spillover Effect of Urban Reconstruction from Announcement to Completion on Residential Prices: Application of two-stage Spatial Quantile Regression." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/37q5s8.
Full text國立屏東大學
不動產經營學系碩士班
106
Most past studies on urban reconstruction have focused on the differences in residential prices before and after a project's demarcation or completion. However, these studies did not consider the price changes for urban reconstruction projects with long-term time horizons. Moreover, few studies have examined the different effects for different types of price distributions, which may lead to the overestimation of the positive external effect of urban reconstruction. This study analyzed the Taipei City urban reconstruction projects completed by the Urban Regeneration R&D Foundation in 2016. The 12-month housing transaction data for Taipei City over 2008-2017 was collected, and propensity score matching was performed to identify two similar sample groups. Subsequently, the difference-in-difference method was used in conjunction with quantile regression to analyze the spillover effects of urban reconstruction projects on neighboring areas during the various phases of these projects, and to determine whether different housing price distributions had brought about different effects. During this process, the effects of spatial autocorrelation were also taken into account and incorporated into the study's spatial econometric model. The empirical results showed that the effect on housing prices (excepting high-priced units) was positive and statistically significant during the planning and announcement phase. For low-, moderately low-, and mid-priced units, the effect was negative for all phases (planning and announcement phase, construction phase, and post-completion phase), indicating that the spillover effects reported in previous urban reconstruction evaluations might have been overestimated. The empirical results revealed that the effect of the soil liquefaction announcement was negative and statistically significant for residential units in areas with high potential for soil liquefaction. However, after the data on potential soil liquefaction areas was announced, the effect gradually subsided over time. On the other hand, the effect on low-priced housing in high potential areas intensified over time after the announcement.
Books on the topic "Quantile spillovers"
Wang, Yanling. On the quantity and quality of knowledge: The impact of openness and foreign research and development on North-North and North-South technology spillovers. Washington, D.C: World Bank, 2004.
Find full textSchiff, Maurice, and Yanling Wang. On the Quantity and Quality of Knowledge: The Impact of Openness and Foreign Research and Development on North-North and North-South Technology Spillovers. The World Bank, 2004. http://dx.doi.org/10.1596/1813-9450-3190.
Full textBook chapters on the topic "Quantile spillovers"
Chantapacdepong, Pornpinun, Matthias Helble, and Naoyuki Yoshino. "An Overview of the Issues and the Book." In Macroeconomic Shocks and Unconventional Monetary Policy, 3–15. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198838104.003.0001.
Full text"Quantity Constraints, Spillovers, and the Hahn Process (1978)." In Microeconomics, 110–29. Cambridge University Press, 1999. http://dx.doi.org/10.1017/cbo9780511572180.006.
Full textMa, Xinxin, and Shi Li. "The Effects of the Minimum-Wage Policy on the Wage Distribution in Urban China." In Changing Trends in China's Inequality, 359–95. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190077938.003.0012.
Full textConference papers on the topic "Quantile spillovers"
Hui, Shou. "Research on the Risk Spillover Effect of China's Commercial Banks Based on Quantile Regression." In the International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3134271.3134297.
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