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"Ripple effects" and forecasting home prices in Los Angeles, Las Vegas, and Phoenix

Gupta, Rangan; Miller, Stephen M. - 2009

Persistent link: https://www.econbiz.de/10003867016

Forecasting the US real house price index : structural and non-structural models with and without fundamentals

Gupta, Rangan; Kabundi, Alain; Miller, Stephen M. - 2009

Persistent link: https://www.econbiz.de/10003949772

Was the recent downturn in US GDP predictable?

Balcilar, Mehmet; Gupta, Rangan; Majumdar, Anandamayee; … - 2012

Persistent link: https://www.econbiz.de/10009725427

Causality between per capita real GDP and income inequality in the U.S. : evidence from a wavelet analysis

Chang, Shinhye; Gupta, Rangan; Miller, Stephen M. - 2016

Persistent link: https://www.econbiz.de/10011547636

Forecasting US real private residential fixed investment using a large number of predictors

Aye, Goodness C.; Gupta, Rangan; Miller, Stephen M.; … - 2014

Persistent link: https://www.econbiz.de/10010415549

Do U.S. economic conditions at the state level predict the realized volatility of oil-price returns? : a quantile machine-learning approach

Gupta, Rangan; Pierdzioch, Christian - In: Financial innovation : FIN 9 (2023), pp. 1-22

Persistent link: https://www.econbiz.de/10014288917

The predictive power of Bitcoin prices for the realized volatility of US stock sector returns

Bouri, Elie; Salisu, Afees A.; Gupta, Rangan - In: Financial innovation : FIN 9 (2023) 1, pp. 1-22

This paper is motivated by Bitcoin's rapid ascension into mainstream finance and recent evidence of a strong relationship between Bitcoin and US stock markets. It is also motivated by a lack of empirical studies on whether Bitcoin prices contain useful information for the volatility of US stock...

Persistent link: https://www.econbiz.de/10014289060