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Published in: Annals of Data Science 2/2021

20-04-2019

Modeling the Relationships Across Nigeria Inflation, Exchange Rate, and Stock Market Returns and Further Analysis

Authors: I. E. Okorie, A. C. Akpanta, J. Ohakwe, D. C. Chikezie, C. U. Onyemachi, M. C. Ugwu

Published in: Annals of Data Science | Issue 2/2021

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Abstract

For the first time, a more detailed statistical analysis of the dependence across Nigeria inflation, exchange rate, and stock market returns is provided by means of copulas. A positive relationship is found to exist between Nigeria inflation and the exchange rate of Nigeria Naira versus USD, a negligible positive relationship exists between Nigeria inflation and her stock market returns, and a weak positive relationship exists between the exchange rate of Nigeria Naira versus USD and her stock market returns. Eighteen months forecast for each of the time series and the value at risk estimates for the Nigeria stock market returns are given. The Nigeria stock market is confirmed to be weak form inefficient.

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Literature
1.
go back to reference Dornbusch R, Fischer S (1980) Exchange rates and the current account. Am Econ Rev 70(5):960–971 Dornbusch R, Fischer S (1980) Exchange rates and the current account. Am Econ Rev 70(5):960–971
2.
go back to reference Gavin M (1989) The stock market and exchange rate dynamics. J Int Money Finance 8(2):181–200 Gavin M (1989) The stock market and exchange rate dynamics. J Int Money Finance 8(2):181–200
3.
go back to reference Branson WH (1983) Macroeconomic determinants of real exchange risk. In: Herring RJ (ed) Managing foreign exchange risk. Cambridge University Press, Cambridge Branson WH (1983) Macroeconomic determinants of real exchange risk. In: Herring RJ (ed) Managing foreign exchange risk. Cambridge University Press, Cambridge
4.
go back to reference Frankel J A (1992) Monetary and portfolio-balance models of exchange rate determination. In: International economic policies and their theoretical foundations. Academic Press, pp 793–832 Frankel J A (1992) Monetary and portfolio-balance models of exchange rate determination. In: International economic policies and their theoretical foundations. Academic Press, pp 793–832
5.
go back to reference Fisher I (1930) Theory of interest: as determined by impatience to spend income and opportunity to invest it. Augustusm Kelly Publishers, Clifton Fisher I (1930) Theory of interest: as determined by impatience to spend income and opportunity to invest it. Augustusm Kelly Publishers, Clifton
6.
go back to reference Albulescu CT, Aubin C, Goyeau D (2017) Stock prices, inflation and inflation uncertainty in the US: testing the long-run relationship considering Dow Jones sector indexes. Appl Econ 49(18):1794–1807 Albulescu CT, Aubin C, Goyeau D (2017) Stock prices, inflation and inflation uncertainty in the US: testing the long-run relationship considering Dow Jones sector indexes. Appl Econ 49(18):1794–1807
7.
go back to reference Madsen JB (2007) Pitfalls in estimates of the relationship between stock returns and inflation. Empir Econ 33(1):1–21 Madsen JB (2007) Pitfalls in estimates of the relationship between stock returns and inflation. Empir Econ 33(1):1–21
8.
go back to reference Bodie Z (1976) Common stocks as a hedge against inflation. J Finance 31(2):459–470 Bodie Z (1976) Common stocks as a hedge against inflation. J Finance 31(2):459–470
9.
go back to reference Miller KD, Jeffrey FJ, Mandelker G (1976) The “Fisher effect” for risky assets: an empirical investigation. J Finance 31(2):447–458 Miller KD, Jeffrey FJ, Mandelker G (1976) The “Fisher effect” for risky assets: an empirical investigation. J Finance 31(2):447–458
10.
go back to reference Nelson CR (1976) Inflation and rates of return on common stocks. J Finance 31(2):471–483 Nelson CR (1976) Inflation and rates of return on common stocks. J Finance 31(2):471–483
11.
go back to reference Fama EF, Schwert GW (1977) Asset returns and inflation. J Financ Econ 5(2):115–146 Fama EF, Schwert GW (1977) Asset returns and inflation. J Financ Econ 5(2):115–146
12.
go back to reference Modigliani F, Cohn RA (1979) Inflation, rational valuation and the market. Financ Anal J 35(2):24–44 Modigliani F, Cohn RA (1979) Inflation, rational valuation and the market. Financ Anal J 35(2):24–44
13.
go back to reference Feldstein M (1980) Inflation and the stock market. Am Eco Rev 70:839–847 Feldstein M (1980) Inflation and the stock market. Am Eco Rev 70:839–847
14.
go back to reference Fama EF (1981) Stock returns, real activity, inflation, and money. Am Econ Rev 71(4):545–565 Fama EF (1981) Stock returns, real activity, inflation, and money. Am Econ Rev 71(4):545–565
15.
go back to reference Geske R, Roll R (1983) The fiscal and monetary linkage between stock returns and inflation. J Finance 38(1):1–33 Geske R, Roll R (1983) The fiscal and monetary linkage between stock returns and inflation. J Finance 38(1):1–33
16.
go back to reference Kaul G (1987) Stock returns and inflation: the role of the monetary sector. J Financ Econ 18(2):253–276 Kaul G (1987) Stock returns and inflation: the role of the monetary sector. J Financ Econ 18(2):253–276
17.
go back to reference DeFina RH (1991) Does inflation depress the stock market. Bus Rev Fed Reserve Bank Phila 3(4):3–12 DeFina RH (1991) Does inflation depress the stock market. Bus Rev Fed Reserve Bank Phila 3(4):3–12
18.
go back to reference Boudoukh J, Richardson M (1993) Stock returns and inflation: a long-horizon perspective. Am Econ Rev 83(5):1346–1355 Boudoukh J, Richardson M (1993) Stock returns and inflation: a long-horizon perspective. Am Econ Rev 83(5):1346–1355
19.
go back to reference Omankhanlen AE, Senibi EJ, Senibi VK (2016) Macroeconomic indicators and stock price movement nexus: a study of the Nigerian stock market. Soc Sci 11(13):3294–3306 Omankhanlen AE, Senibi EJ, Senibi VK (2016) Macroeconomic indicators and stock price movement nexus: a study of the Nigerian stock market. Soc Sci 11(13):3294–3306
20.
go back to reference Uwubanmwen A, Eghosa IL (2015) Inflation rate and stock returns: evidence from the Nigerian stock market. Int J Bus Soc Sci 6(11):155–167 Uwubanmwen A, Eghosa IL (2015) Inflation rate and stock returns: evidence from the Nigerian stock market. Int J Bus Soc Sci 6(11):155–167
21.
go back to reference Bala SAR, Hassan A (2018) Exchange rate and stock market interactions: evidence from Nigeria. Arab J Bus Manag Rev 8:334 Bala SAR, Hassan A (2018) Exchange rate and stock market interactions: evidence from Nigeria. Arab J Bus Manag Rev 8:334
22.
go back to reference Nwude EC (2012) A survey of foreign exchange rate determinants in Nigeria. Eur J Bus Manag 4(13):168–174 Nwude EC (2012) A survey of foreign exchange rate determinants in Nigeria. Eur J Bus Manag 4(13):168–174
24.
go back to reference Zubair A (2013) Causal relationship between stock market index and exchange rate: evidence from Nigeria. CBN J Appl Stat 4(2):87–110 Zubair A (2013) Causal relationship between stock market index and exchange rate: evidence from Nigeria. CBN J Appl Stat 4(2):87–110
25.
go back to reference Al-Qenaie J (2016) Causes of inflation across main oil exporting countries. J Fac Commer Sci Res 54:93–116 Al-Qenaie J (2016) Causes of inflation across main oil exporting countries. J Fac Commer Sci Res 54:93–116
27.
go back to reference Oluseyi AS (2015) An empirical investigation of the relationship between stock market prices volatility and macroeconomic variables’ volatility in Nigeria. Eur J Acad Essays 2(11):1–12 Oluseyi AS (2015) An empirical investigation of the relationship between stock market prices volatility and macroeconomic variables’ volatility in Nigeria. Eur J Acad Essays 2(11):1–12
28.
go back to reference Fowowe B (2015) The relationship between stock prices and exchange rates in South Africa and Nigeria: structural breaks analysis. Int Rev Appl Econ 29(1):1–14 Fowowe B (2015) The relationship between stock prices and exchange rates in South Africa and Nigeria: structural breaks analysis. Int Rev Appl Econ 29(1):1–14
29.
go back to reference Nkoro E, Uko AK (2016) Exchange rate and inflation volatility and stock prices volatility: evidence from Nigeria, 1986–2012. J Appl Finance Bank 6(6):57 Nkoro E, Uko AK (2016) Exchange rate and inflation volatility and stock prices volatility: evidence from Nigeria, 1986–2012. J Appl Finance Bank 6(6):57
30.
go back to reference Udoka CO, Nya MJ, Bassey JG (2018) The effect of macroeconomic determinants of stock price movements in Nigeria. Int J Res Granthaalayah 6(1):203–218 Udoka CO, Nya MJ, Bassey JG (2018) The effect of macroeconomic determinants of stock price movements in Nigeria. Int J Res Granthaalayah 6(1):203–218
31.
go back to reference Asekome MO, Agbonkhese AO (2015) Macroeconomic variables, stock market bubble, meltdown and recovery: evidence from Nigeria. J Finance 3(2):25–34 Asekome MO, Agbonkhese AO (2015) Macroeconomic variables, stock market bubble, meltdown and recovery: evidence from Nigeria. J Finance 3(2):25–34
32.
go back to reference Phillips PC (1986) Understanding spurious regressions in econometrics. J Econom 33(3):311–340 Phillips PC (1986) Understanding spurious regressions in econometrics. J Econom 33(3):311–340
33.
go back to reference Giles DE (2007) Spurious regressions with time-series data: further asymptotic results. Commun Stat Theor Methods 36(5):967–979 Giles DE (2007) Spurious regressions with time-series data: further asymptotic results. Commun Stat Theor Methods 36(5):967–979
34.
go back to reference Ventosa-Santaulària D (2009) Spurious regression. J Probab Stat 2009:27 Ventosa-Santaulària D (2009) Spurious regression. J Probab Stat 2009:27
35.
go back to reference Pandey PK, Das L, Jhajharia D, Pandey V (2018) Modelling of interdependence between rainfall and temperature using copula. Model Earth Syst Environ 4(2):867–879 Pandey PK, Das L, Jhajharia D, Pandey V (2018) Modelling of interdependence between rainfall and temperature using copula. Model Earth Syst Environ 4(2):867–879
36.
go back to reference Wong G, Lambert MF, Leonard M, Metcalfe AV (2009) Drought analysis using trivariate copulas conditional on climatic states. J Hydrol Eng 15(2):129–141 Wong G, Lambert MF, Leonard M, Metcalfe AV (2009) Drought analysis using trivariate copulas conditional on climatic states. J Hydrol Eng 15(2):129–141
37.
go back to reference Mirabbasi R, Fakheri-Fard A, Dinpashoh Y (2012) Bivariate drought frequency analysis using the copula method. Theor Appl Climatol 108(1–2):191–206 Mirabbasi R, Fakheri-Fard A, Dinpashoh Y (2012) Bivariate drought frequency analysis using the copula method. Theor Appl Climatol 108(1–2):191–206
38.
go back to reference Chiou SC, Tsay RS (2008) A copula-based approach to option pricing and risk assessment. J Data Sci 6(3):273–301 Chiou SC, Tsay RS (2008) A copula-based approach to option pricing and risk assessment. J Data Sci 6(3):273–301
39.
go back to reference Bernard C, Czado C (2013) Multivariate option pricing using copulae. Appl Stoch Models Bus Ind 29(5):509–526 Bernard C, Czado C (2013) Multivariate option pricing using copulae. Appl Stoch Models Bus Ind 29(5):509–526
40.
go back to reference Persons P, Jadin M, Woychik J (2012) Modeling financial markets using copula functions. Model Assist Stat Appl 7(4):291–303 Persons P, Jadin M, Woychik J (2012) Modeling financial markets using copula functions. Model Assist Stat Appl 7(4):291–303
41.
go back to reference Xu J, Wei W, Cao L (2007) Copula-based high dimensional cross-market dependence modeling. In: 2017 IEEE International conference on data science and advanced analytics (DSAA). IEEE, pp 734–743 Xu J, Wei W, Cao L (2007) Copula-based high dimensional cross-market dependence modeling. In: 2017 IEEE International conference on data science and advanced analytics (DSAA). IEEE, pp 734–743
42.
go back to reference Tao Y, Liu J, Li Z, Lin J, Lu T, Yan F (2013) Dose-finding based on bivariate efficacy-toxicity outcome using archimedean copula. PloS ONE 8(11):e78805 Tao Y, Liu J, Li Z, Lin J, Lu T, Yan F (2013) Dose-finding based on bivariate efficacy-toxicity outcome using archimedean copula. PloS ONE 8(11):e78805
43.
go back to reference Kwofie C, Ansah RK (2018) A study of the effect of inflation and exchange rate on stock market returns in Ghana. Int J Math Math Sci 2018:8 Kwofie C, Ansah RK (2018) A study of the effect of inflation and exchange rate on stock market returns in Ghana. Int J Math Math Sci 2018:8
44.
go back to reference Fuller WA (2009) Introduction to statistical time series, vol 428. Wiley, New York Fuller WA (2009) Introduction to statistical time series, vol 428. Wiley, New York
45.
go back to reference Ding Z, Granger CW, Engle RF (1993) A long memory property of stock market returns and a new model. J Empir Finance 1(1):83–106 Ding Z, Granger CW, Engle RF (1993) A long memory property of stock market returns and a new model. J Empir Finance 1(1):83–106
46.
go back to reference Engle RF (1982) Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econom J Econom Soc 50:987–1007 Engle RF (1982) Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econom J Econom Soc 50:987–1007
47.
go back to reference Bollerslev T (1986) Generalized autoregressive conditional heteroskedasticity. J Econom 31(3):307–327 Bollerslev T (1986) Generalized autoregressive conditional heteroskedasticity. J Econom 31(3):307–327
48.
go back to reference Taylor S (1986) Modelling financial time series, New York. Wiley, New York Taylor S (1986) Modelling financial time series, New York. Wiley, New York
49.
go back to reference Schwert GW (1990) Stock volatility and the crash of’87. Rev Financ Stud 3(1):77–102 Schwert GW (1990) Stock volatility and the crash of’87. Rev Financ Stud 3(1):77–102
50.
go back to reference Glosten L, Jaganathan R, Runkle D (1989) Relationship between the expected value and the volatility of the nominal excess return on stocks. J.L. Kellogg Graduate School, Northwestern University (unpublished manuscript) Glosten L, Jaganathan R, Runkle D (1989) Relationship between the expected value and the volatility of the nominal excess return on stocks. J.L. Kellogg Graduate School, Northwestern University (unpublished manuscript)
51.
go back to reference Zakoian J (1991) Threshold heteroskedasticity model. INSEE (unpublished manuscript) Zakoian J (1991) Threshold heteroskedasticity model. INSEE (unpublished manuscript)
52.
go back to reference Bera AK, Higgins ML (1993) ARCH models: properties, estimation and testing. J Economic Surv 7(4):305–366 Bera AK, Higgins ML (1993) ARCH models: properties, estimation and testing. J Economic Surv 7(4):305–366
53.
go back to reference Geweke J (1986) Modeling the persistence of conditional variances: a comment. Econom Rev 5:57–61 Geweke J (1986) Modeling the persistence of conditional variances: a comment. Econom Rev 5:57–61
54.
go back to reference Pentula S (1986) Modeling the persistence of conditional variances: a comment. Econom Rev 5(1):71–74 Pentula S (1986) Modeling the persistence of conditional variances: a comment. Econom Rev 5(1):71–74
55.
go back to reference Azzalini A (2005) The skew-normal distribution and related multivariate families. Scand J Stat 32(2):159–188 Azzalini A (2005) The skew-normal distribution and related multivariate families. Scand J Stat 32(2):159–188
56.
go back to reference Stasinopoulos MD, Rigby RA, Heller GZ, Voudouris V, De Bastiani F (2017) Flexible regression and smoothing: using gamlss in r. CRC Press, Boca Raton Stasinopoulos MD, Rigby RA, Heller GZ, Voudouris V, De Bastiani F (2017) Flexible regression and smoothing: using gamlss in r. CRC Press, Boca Raton
57.
go back to reference Kotz S, Kozubowski T, Podgórski K (2012) The Laplace distribution and generalizations: a revisit with applications to communications, economics, engineering, and finance. Springer, Berlin Kotz S, Kozubowski T, Podgórski K (2012) The Laplace distribution and generalizations: a revisit with applications to communications, economics, engineering, and finance. Springer, Berlin
58.
go back to reference Johnson NL, Kotz S, Balakrishnan N (1995) Continuous univariate distributions, vol 2. Wiley series in probability and mathematical statistics: applied probability and statistics. Wiley, New York Johnson NL, Kotz S, Balakrishnan N (1995) Continuous univariate distributions, vol 2. Wiley series in probability and mathematical statistics: applied probability and statistics. Wiley, New York
59.
go back to reference Johnson NL, Kotz S, Balakrishnan N (1970) Distributions in statistics: continuous univariate distributions, vol 2. Wiley, New York Johnson NL, Kotz S, Balakrishnan N (1970) Distributions in statistics: continuous univariate distributions, vol 2. Wiley, New York
60.
go back to reference Joe H (1996) Families of m-variate distributions with given margins and m (m-1)/2 bivariate dependence parameters. Lecture notes-monograph series. Institute of Mathematical Statistics, New York, pp 120–141 Joe H (1996) Families of m-variate distributions with given margins and m (m-1)/2 bivariate dependence parameters. Lecture notes-monograph series. Institute of Mathematical Statistics, New York, pp 120–141
61.
go back to reference Bedford T, Cooke RM (2001) Probability density decomposition for conditionally dependent random variables modeled by vines. Ann Math Artif intell 32(1–4):245–268 Bedford T, Cooke RM (2001) Probability density decomposition for conditionally dependent random variables modeled by vines. Ann Math Artif intell 32(1–4):245–268
62.
go back to reference Bedford T, Cooke RM (2002) Vines: a new graphical model for dependent random variables. Ann Stat 30:1031–1068 Bedford T, Cooke RM (2002) Vines: a new graphical model for dependent random variables. Ann Stat 30:1031–1068
63.
go back to reference Kurowicka D, Cooke RM (2006) Uncertainty analysis with high dimensional dependence modelling. Wiley, New York Kurowicka D, Cooke RM (2006) Uncertainty analysis with high dimensional dependence modelling. Wiley, New York
64.
go back to reference Brechmann E, Schepsmeier U (2013) Cdvine: modeling dependence with c-and d-vine copulas in r. J Stat Softw 52(3):1–27 Brechmann E, Schepsmeier U (2013) Cdvine: modeling dependence with c-and d-vine copulas in r. J Stat Softw 52(3):1–27
65.
go back to reference Aas K, Czado C, Frigessi A, Bakken H (2009) Pair-copula constructions of multiple dependence. Insur Math Econ 44(2):182–198 Aas K, Czado C, Frigessi A, Bakken H (2009) Pair-copula constructions of multiple dependence. Insur Math Econ 44(2):182–198
66.
go back to reference Xu J, Cao L (2018) Vine Copula-based asymmetry and tail dependence modeling. In: Pacific-Asia conference on knowledge discovery and data mining. Springer, Cham, pp 285–297 Xu J, Cao L (2018) Vine Copula-based asymmetry and tail dependence modeling. In: Pacific-Asia conference on knowledge discovery and data mining. Springer, Cham, pp 285–297
67.
go back to reference Wei W, Yin J, Li J, Cao L (2014) Modeling asymmetry and tail dependence among multiple variables by using partial regular vine. In: Proceedings of the 2014 SIAM international conference on data mining. Society for Industrial and Applied Mathematics, pp 776–784 Wei W, Yin J, Li J, Cao L (2014) Modeling asymmetry and tail dependence among multiple variables by using partial regular vine. In: Proceedings of the 2014 SIAM international conference on data mining. Society for Industrial and Applied Mathematics, pp 776–784
68.
go back to reference Wei W, Li J, Cao L, Sun J, Liu C, Li M (2013) Optimal allocation of high dimensional assets through canonical vines. In: Pacific-Asia conference on knowledge discovery and data mining. Springer, Berlin, Heidelberg, pp 366–377 Wei W, Li J, Cao L, Sun J, Liu C, Li M (2013) Optimal allocation of high dimensional assets through canonical vines. In: Pacific-Asia conference on knowledge discovery and data mining. Springer, Berlin, Heidelberg, pp 366–377
69.
go back to reference Wei W, Fan X, Li J, Cao L (2012) Model the complex dependence structures of financial variables by using canonical vine. In: Proceedings of the 21st ACM international conference on Information and knowledge management. ACM, pp 1382–1391) Wei W, Fan X, Li J, Cao L (2012) Model the complex dependence structures of financial variables by using canonical vine. In: Proceedings of the 21st ACM international conference on Information and knowledge management. ACM, pp 1382–1391)
70.
go back to reference Haff IH (2013) Parameter estimation for pair-copula constructions. Bernoulli 19(2):462–491 Haff IH (2013) Parameter estimation for pair-copula constructions. Bernoulli 19(2):462–491
71.
go back to reference Haff IH, Aas K, Frigessi A (2010) On the simplified pair-copula construction simply useful or too simplistic? J Multivar Anal 101(5):1296–1310 Haff IH, Aas K, Frigessi A (2010) On the simplified pair-copula construction simply useful or too simplistic? J Multivar Anal 101(5):1296–1310
72.
go back to reference Czado C, Schepsmeier U, Min A (2012) Maximum likelihood estimation of mixed C-vines with application to exchange rates. Stat Model 12(3):229–255 Czado C, Schepsmeier U, Min A (2012) Maximum likelihood estimation of mixed C-vines with application to exchange rates. Stat Model 12(3):229–255
73.
go back to reference Czado C (2010) Pair-copula constructions of multivariate copulas. In: Jaworski PEA (ed) Copula theory and its applications. Springer, Berlin, pp 93–109 Czado C (2010) Pair-copula constructions of multivariate copulas. In: Jaworski PEA (ed) Copula theory and its applications. Springer, Berlin, pp 93–109
74.
go back to reference Genest C, Favre AC (2007) Everything you always wanted to know about copula modeling but were afraid to ask. J Hydrol Eng 12(4):347–368 Genest C, Favre AC (2007) Everything you always wanted to know about copula modeling but were afraid to ask. J Hydrol Eng 12(4):347–368
75.
go back to reference Best DJ, Gipps PG (1974) Algorithm AS 71: the upper tail probabilities of Kendall’s Tau. J R Stat Soc Ser C Appl Stati 23(1):98–100 Best DJ, Gipps PG (1974) Algorithm AS 71: the upper tail probabilities of Kendall’s Tau. J R Stat Soc Ser C Appl Stati 23(1):98–100
76.
go back to reference Kendall MG (1976) Rank correlation methods, 4th edn. Griffin, London Kendall MG (1976) Rank correlation methods, 4th edn. Griffin, London
77.
go back to reference Davison AC, Hinkley DV (1997) Bootstrap methods and their application, vol 1. Cambridge University Press, Cambridge Davison AC, Hinkley DV (1997) Bootstrap methods and their application, vol 1. Cambridge University Press, Cambridge
78.
go back to reference Hill ID (1973) Algorithm AS 66: the normal integral. J R Stat Soc Ser C Appl Stat 22(3):424–427 Hill ID (1973) Algorithm AS 66: the normal integral. J R Stat Soc Ser C Appl Stat 22(3):424–427
79.
go back to reference Valz PD (1990) Developments in rank correlation procedures, Doctoral dissertation, Ph.D. Thesis. Department of Statistical and Actuarial Sciences, University of Western Ontario Valz PD (1990) Developments in rank correlation procedures, Doctoral dissertation, Ph.D. Thesis. Department of Statistical and Actuarial Sciences, University of Western Ontario
80.
go back to reference Valz PD, Thompson ME (1994) Exact Inference for Kendall’s S and Spearman’s $\rho $ with extension to Fisher’s exact test in r$\times $c contingency tables. J Comput Graph Stat 3(4):459–472 Valz PD, Thompson ME (1994) Exact Inference for Kendall’s S and Spearman’s $\rho $ with extension to Fisher’s exact test in r$\times $c contingency tables. J Comput Graph Stat 3(4):459–472
83.
go back to reference Akaike H (1974) A new look at the statistical model identification. IEEE Trans Autom Control 19(6):716–723 Akaike H (1974) A new look at the statistical model identification. IEEE Trans Autom Control 19(6):716–723
84.
go back to reference Schwarz G (1978) Estimating the dimension of a model. Ann Stat 6(2):461–464 Schwarz G (1978) Estimating the dimension of a model. Ann Stat 6(2):461–464
85.
go back to reference Hurvich CM, Tsai CL (1989) Regression and time series model selection in small samples. Biometrika 76:297–307 Hurvich CM, Tsai CL (1989) Regression and time series model selection in small samples. Biometrika 76:297–307
86.
go back to reference Box GEP, Jenkins GM (1970) Time series analysis-forecasting and conrrol. Holden-Day, San Francisco Box GEP, Jenkins GM (1970) Time series analysis-forecasting and conrrol. Holden-Day, San Francisco
87.
go back to reference Newbold P (1975) The principles of the Box–Jenkins approach. J Oper Res Soc 26(2):397–412 Newbold P (1975) The principles of the Box–Jenkins approach. J Oper Res Soc 26(2):397–412
88.
go back to reference Anderson OD (1977) Time series analysis and forecasting: another look at the Box–Jenkinsl. J R Stat Soc Ser D (Stat) 26(4):285–303 Anderson OD (1977) Time series analysis and forecasting: another look at the Box–Jenkinsl. J R Stat Soc Ser D (Stat) 26(4):285–303
89.
go back to reference Pankratz A (2009) Forecasting with univariate Box–Jenkins models: concepts and cases, vol 224. Wiley, New York Pankratz A (2009) Forecasting with univariate Box–Jenkins models: concepts and cases, vol 224. Wiley, New York
90.
go back to reference Kupiec P (1995) Techniques for verifying the accuracy of risk measurement models. FEDS Paper (95–24) Kupiec P (1995) Techniques for verifying the accuracy of risk measurement models. FEDS Paper (95–24)
91.
go back to reference Dowd K (2007) Measuring market risk. Wiley, New York Dowd K (2007) Measuring market risk. Wiley, New York
92.
go back to reference Okorie IE, Ohakwe J (2018) Forecasting Nigeria’s inflation and the world prices of her major agricultural export commodities with probability distributions via VaR and ES and estimating their dependence via copula. Commun Stat Case Stud Data Anal Appl 4:1–18 Okorie IE, Ohakwe J (2018) Forecasting Nigeria’s inflation and the world prices of her major agricultural export commodities with probability distributions via VaR and ES and estimating their dependence via copula. Commun Stat Case Stud Data Anal Appl 4:1–18
93.
go back to reference Soenen L, Johnson R (2001) The interrelationship between macroeconomic variables and stock prices-the case of China. J Asia Pac Bus 3(2):67–81 Soenen L, Johnson R (2001) The interrelationship between macroeconomic variables and stock prices-the case of China. J Asia Pac Bus 3(2):67–81
94.
go back to reference Ratanapakorn O, Sharma SC (2007) Dynamic analysis between the US stock returns and the macroeconomic variables. Appl Financ Econ 17(5):369–377 Ratanapakorn O, Sharma SC (2007) Dynamic analysis between the US stock returns and the macroeconomic variables. Appl Financ Econ 17(5):369–377
95.
go back to reference Humpe A, Macmillan P (2009) Can macroeconomic variables explain long-term stock market movements? A comparison of the US and Japan. Appl Financ Econ 19(2):111–119 Humpe A, Macmillan P (2009) Can macroeconomic variables explain long-term stock market movements? A comparison of the US and Japan. Appl Financ Econ 19(2):111–119
Metadata
Title
Modeling the Relationships Across Nigeria Inflation, Exchange Rate, and Stock Market Returns and Further Analysis
Authors
I. E. Okorie
A. C. Akpanta
J. Ohakwe
D. C. Chikezie
C. U. Onyemachi
M. C. Ugwu
Publication date
20-04-2019
Publisher
Springer Berlin Heidelberg
Published in
Annals of Data Science / Issue 2/2021
Print ISSN: 2198-5804
Electronic ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-019-00206-7

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