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Results 11-20 of 43 (Search time: 0.003 seconds).
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Issue Date
Title
Author(s)
2020
On the Flexibility of Topp Leone Exponentiated Inverse Exponential Distribution
Sule, Ibrahim
;
Sani, Ibrahim Doguwa
;
Audu, Isah
;
Haruna, Muhammad Jibril
2020-03-10
The Topp Leone Kumaraswamy-G Family of Distributions with Applications to Cancer Disease Data
Sule, Ibrahim
;
Sani, Ibrahim Doguwa
;
Audu, Isah
;
Jibril, M. Haruna
2021-02
Topp Leone Exponentiated Lomax Distribution and Its Application to Breast and Bladder Cancer Data
Sule, Ibrahim
;
Sani, Ibrahim Doguwa
;
Audu, Isah
;
Haruna, M. Jibril
2020
On the Topp Leone Exponentiated-G Family of Distributions: Properties and Applications
Sule, Ibrahim
;
Sani, Ibrahim Doguwa
;
Audu, Isah
;
Jibril, Haruna Muhammad
2021-10-28
Trades in stock market anywhere in the world is faced with intense volatility due to stocks prices instability in real time that is mostly driven by information and other market dynamics. This research examines two volatility models with two different error distributions innovations in modelling and forecasting the continuous compounded return series (CCRS) of Nigeria All Share Index (NGX ASI) spot prices spanning the period of January 30, 2012 to June 30, 2021. The Generalized Autoregressive Conditional Heteroscedastic (GARCH) and Asymmetric Power Autoregressive Conditional Heteroscedastic ARCH (APARCH) volatility models under Student-t Distribution (StD) and Generalized Error Distribution (GED) error innovations are utilized. The best-fitted model is determined using Akaike’s Information Criterion (AIC) while Mean Square Error (MSE) is used to evaluate forecasts performance of the fitted volatility models. The results from the analysis showed that amongst competing models, APARCH (1,1)-GED was selected to be the best fitted volatility model with better forecasting power for the CCRS-NGX-ASI spot prices. This is because it produces the smallest AIC and MSE values
Gana, Y
;
Usman, A
2021-10-25
Multivariate Analysis of Dynamic Transmission of Coronavirus Disease with Control Measures in Nigeria.
Sheshi, M.M
;
Usman, A
2021-01-25
Multivariate Analysis of Dynamic Transmission of Coronavirus Disease with Control Measures in Nigeria.
Sheshi, M.M
;
Usman, A
2021-10-25
MODELLING AND FORECASTING VOLATILITY IN NIGERIA: EVIDENCE FROM THE STOCK MARKET
Zubairu, A. U
;
Usman, A
2021-04-24
The Relationship Between Government Expenditure and Economic Growth in Africa: Evidence from Dynamic Common Correlated Effects Panel Estimators
Mayaki, James
;
Olarewaju, S
;
Adeyemi, R
;
Abdullahi, Usman
;
Muhammad, A
2022-01-31
Spatiotemporal Modelling of Endemic-epidemic Cholera in Nigeria
Abdullahi, Usman
;
Audu, Isah
;
Usman, Abubakar
;
Maiyaki, James
Discover
Author
11
Usman, A
8
Yakubu, Yisa
7
Mayaki, J.
6
Adeyemi, R. A.
6
Audu, Isah
5
Abdullahi, U.
4
Adetutu, O. M.
4
Sani, Ibrahim Doguwa
4
Sule, Ibrahim
3
Abdullahi, Usman
.
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Subject
2
covariate effect
2
Government Expenditure
2
Health care areas
2
integrated nested Laplace approxi...
2
mortality data;
2
order statistics
2
Poisson mixed model
2
Ranking
2
Spatial geography
2
Spatiotemporal dependence
.
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Date issued
17
2021
11
2022
10
2020
4
2023
1
2024
Has File(s)
43
true