Salisu, Afees and Salisu, Sulaiman and Salisu, Subair (2023): A news-based economic policy uncertainty index for Nigeria.
Preview |
PDF
MPRA_paper_119539.pdf Download (692kB) | Preview |
Abstract
In this study, we develop the first daily news-based economic policy uncertainty [EPU] index for the largest economy in Africa which was hitherto suppressed in the various EPU indices published in recent times. With the renewed interest in Africa as an important destination for investments from developed economies/regions such as Europe, the US, and the UK as well as emerging economies such as China, India, and Russia, among others, in which Nigeria is strategically positioned to benefit from, the need to track the extent of economic uncertainties for the country becomes crucial for investment and policy. Thus, we construct an EPU index from -articles from prominent newspapers in the country using relevant keywords and covers the aftermath of the global financial crisis and also includes the COVID pandemic since the current data scope for the index spans January 01, 2010, to November 30, 2022. We evaluate the in-sample and out-of-sample predictability of the constructed EPU index by examining how it connects with economic/financial variables like exchange rates and stock prices in Nigeria. We provide evidence that lends credence to the inclusion of the index, among other predictors, in the predictive models for the relevant variables to produce more accurate out-of-sample forecasts for them. More importantly, the results are robust to alternative model specifications, different data frequencies, and multiple forecast horizons. We hope to extend this exercise to other useful indices such as geopolitical risk, Financial Stress indicators, and monetary policy uncertainty, among others, which are not readily available for Africa including Nigeria.
Item Type: | MPRA Paper |
---|---|
Original Title: | A news-based economic policy uncertainty index for Nigeria |
English Title: | A news-based economic policy uncertainty index for Nigeria |
Language: | English |
Keywords: | News, Economic Policy Uncertainty, Nigeria, Machine Learning, Predictability, Forecast Evaluation |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C54 - Quantitative Policy Modeling D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D80 - General |
Item ID: | 119539 |
Depositing User: | MR SUBAIR SALISU |
Date Deposited: | 13 Jan 2024 08:55 |
Last Modified: | 13 Jan 2024 08:55 |
References: | Ahir, H., Bloom, N., & Furceri, D. (2022). The world uncertainty index (No. w29763). National Bureau of economic research. Al-Thaqeb, S. A., and Algharabali, B. G. (2019). Economic policy uncertainty: A literature review. The Journal of Economic Asymmetries, 20, e00133. doi:10.1016/j.jeca.2019.e00133 Baker, S. R., Bloom, N., & Davis, S. J. (2016). Measuring economic policy uncertainty. The quarterly journal of Economics, 131(4), 1593-1636. Baker, S. R., Bloom, N., Davis, S. J., & Terry, S. J. (2020). Covid-induced economic uncertainty (No. w26983). National Bureau of Economic Research. Bannigidadmath, D. and Narayan, P. K. (2016). Stock return predictability and determinants of predictability and profits. Emerging Markets Review, 26, 153-173. Caldara, D., & Iacoviello, M. (2019). Measuring Geopolitical Risk. Working paper, Board of Governors of the Federal Reserve Board. Clark, T. E., and T. D. West. 2007. Approximately normal tests for equal predictive accuracy in nested models. Journal of Econometrics 138:291–31. doi:10.1016/j.jeconom.2006.05.023. Davis, S. J. (2016). An index of global economic policy uncertainty (No. w22740). National Bureau of Economic Research. Devpura, N., Narayan, P. K. and Sharma, S. S. (2018). Is stock return predictability time-varying? Journal of International Financial Markets, Institutions, and Money, 52, 152-172. De Santis, R. A. (2018). Unobservable systematic risk, economic activity, and the stock market. Journal of Banking & Finance, 97, 51-69. Drogalas, George and Athianos, Stergios and Bakas, George and George, Elekidis, Seasonalities in Stock Markets: The Day of the Week Effect (June 26, 2007). Available at SSRN: https://ssrn.com/abstract=2515097 or http://dx.doi.org/10.2139/ssrn.2515097 Faccini, R., Matin, R., & Skiadopoulos, G. (2021). Are climate change risks priced in the U.S. stock market? (No. 169). Danmarks Nationalbank Working Papers. Gavriilidis, K. (2021). Measuring climate policy uncertainty. Available at SSRN 3847388. Huang, B. N., C. C. Lee, Y. F. Chang, and C. C. Lee (2020). The dynamic linkage between oil prices and exchange rates: New global evidence. Empirical Economics. doi:10.1007/s00181-020-01874-8. Kol, R. (2014). Economic Policy Uncertainty and Exchange Rate Volatility. International Finance, 17(2), 241-256. Liu, L., & Zhang, T. (2015). Economic policy uncertainty and stock market volatility. Finance Research Letters, 15, 99-105. Narayan, P. K., and Bannigidadmath, D. (2015). Are Indian stock returns predictable? Journal of Banking & Finance, 58, 506-531. Narayan, P.K. and Gupta, R. (2015). Has oil price predicted stock returns for over a century? Energy Economics, 48, 18–23. Ozili, P. K. (2022). Sources of Economic Policy Uncertainty in Nigeria: Implications for Africa. In Managing Risk and Decision Making in Times of Economic Distress, Part A. Emerald Publishing Limited. Salisu, A.A., Adekunle, W., Alimi, W.A. and Emmanuel, Z. (2019a). Predicting exchange rate with commodity prices: New evidence from Westerlund and Narayan (2015) estimator with structural breaks and asymmetries. Resources Policy, 62, 33–56. Salisu, A.A., Isah, K. and Akanni, L. (2019b). Improving the predictability of stock returns with Bitcoin prices. The North American Journal of Economics and Finance, 48, 857-867. Salisu, A. A., R. Swaray, and T. F. Oloko (2019c). Improving the predictability of the oil–US stock nexus: The role of macroeconomic variables. Economic Modelling 76:153–71. Salisu, A. A., I. D. Raheem, and U. B. Ndako (2019d). A sectoral analysis of asymmetric nexus between oil price and stock returns. International Review of Economics & Finance, 61, 241–59. Salisu, A. A., and Akanni, L. O. (2020). Constructing a global fear index for the COVID-19 pandemic. Emerging Markets Finance and Trade, 56(10), 2310-2331. Salisu, A.A., Cuñado, J., Isah, K. and Gupta, R. (2020): Oil Price and Exchange Rate Behaviour of the BRICS, Emerging Markets Finance and Trade, 57(7), 2042-2051 Salisu, A.A. and Vo, X.V. (2020). Predicting stock returns in the presence of COVID-19 pandemic: The role of health news. International Review of Financial Analysis 71, 101546, https://doi.org/10.1016/j.irfa.2020.101546 Salisu, A.A. and Vo, X.V. (2021). Firm-specific news and the predictability of Consumer stocks in Vietnam. Finance Research Letters, 41, 101801, https://doi.org/10.1016/j.frl.2020.101801 Si, D., Zhao, B. and Li, X., and Ding, H. (2021). Policy uncertainty and sectoral stock market volatility in China. Economic Analysis and Policy, 69, 557-573. Xu, Z. (2020). Economic policy uncertainty, cost of capital, and corporate innovation. Journal of Banking & Finance, 111, 105698. Yuan, M., Zhang, L., and Lian, Y. (2022). Economic policy uncertainty and stock price crash risk of commercial banks: Evidence from China. Economic Analysis and Policy, 74, 587-605. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/119539 |