Efficient predictability of oil price: The role of number of IPOs and U.S. dollar index

Zhifeng Dai, Jie Kang and Yangli Hu

Resources Policy, 2021, vol. 74, issue C

Abstract: We find the number of initial public offerings (NIPO) a simple but efficient oil price predictor, and provide new evidence that U.S. dollar index (USDX) also has significant out-of-sample forecasting power on oil price. Furthermore, we reveal the highly complementary relation between NIPO and USDX in forecasting oil price and explain it from the points of linear correlation and economic transmission mechanism. With the help of multivariate prediction methods, both the statistical and economic performance of NIPO and USDX can be tremendously boosted. The oil predictabilities of NIPO and USDX partially stem from the forecasting power on oil market sentiment and inflation, respectively, and they can be further enhanced using appropriate nonlinear model.

Keywords: Stock market; U.S. dollar index; Oil price predictability; Out-of-sample forecasting; Asset allocation (search for similar items in EconPapers)
JEL-codes: C53 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:74:y:2021:i:c:s030142072100307x

DOI: 10.1016/j.resourpol.2021.102297

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