scholarly journals Local generalised method of moments: an application to point process-based rainfall models

2015 ◽  
Vol 26 (4) ◽  
pp. 312-325 ◽  
Author(s):  
Jo M. Kaczmarska ◽  
Valerie S. Isham ◽  
Paul Northrop
Keyword(s):  
Point Process ◽  
Method Of Moments ◽  
Generalised Method Of Moments

Revisiting the growth effects of government bonds in the emerging capital market.

2019 ◽  
Vol 3 (1) ◽  
pp. 32-38
Author(s):  
Temitayo O. Olaniyan ◽  
Samuel O. Ekundayo
Keyword(s):  
Method Of Moments ◽  
Capital Market ◽  
Time Series Data ◽  
Stock Exchange ◽  
Annual Reports ◽  
Series Data ◽  
Government Bonds ◽  
Market Growth ◽  
The Public ◽  
Generalised Method Of Moments

We revisited the effects of government bonds for the growth on the Nigerian capital market. Utilising time-series data obtained from the Nigeria Stock Exchange (NSE) annual reports for the period from 2010 to 2017, this study through the Generalised Method of Moments (GMM) regression estimator found that the value and the number of listed government bonds’ positively and significantly affect capital market growth in Nigeria. Furthermore, low capitalisation of government bonds negatively affects the growth of the market. The null hypothesis of the Hansen J-statistics is accepted; hence this implies that the IVs used in the GMM model is valid. We concluded that government bonds have positive and significant effects on the growth of the Nigerian capital market, thus government bonds have made the NSE All-Share Index grow over the period under investigation. Following the findings from the study, it was recommended, inter alia, that there should be more issuance of government bonds to the public and further to enhance the efficiency of the capital markets, both primary and secondary, while the funds raised from the capital market through government issuance should be channelled towards Nigeria’s productive sectors to promote an all-inclusive growth in the Nigerian economy.

Do institutions matter for tourism spending?

2021 ◽  
pp. 135481662110458
Author(s):  
Canh Phuc Nguyen
Keyword(s):  
Method Of Moments ◽  
Policy Implications ◽  
Institutional Factors ◽  
Colonial History ◽  
Explanatory Factors ◽  
Institutional Frameworks ◽  
Domestic Tourism ◽  
Travel Decisions ◽  
Generalised Method Of Moments ◽  
Jel Code

Institutional frameworks are important for individuals’ attitudes and behaviours, and thus they are important for travel decisions. This study endeavours to examine the influence of various formal and informal institutional factors on tourism spending for a global sample of 120 countries from 2002 to 2019. Applying the two-step system generalised method of moments estimate, the results are robust and consistent. First, informal institutions, that is, colonial history, socialist history, origin of the legal system, religion and language, are important explanatory factors for differences in tourism spending between countries. Second, improvements in formal institutions appear to increase domestic tourism spending while they decrease outbound tourism spending. The results have important policy implications. JEL code: E02, Z30, Z32.

Financial Crisis, Globalisation and Development in Africa

2020 ◽  
Vol 56 (1) ◽  
pp. 89-104
Author(s):  
Simplice A. Asongu ◽  
Joseph Nnanna
Keyword(s):  
Financial Development ◽  
Method Of Moments ◽  
Banking System ◽  
System Efficiency ◽  
African Countries ◽  
Jel Codes ◽  
Crisis Period ◽  
Generalised Method Of Moments ◽  
The Impact ◽  
Financial Globalisation

This study unites two streams of research by simultaneously focusing on the impact of financial globalisation on financial development and pre- and post-crisis dynamics of the investigated relationship. The empirical evidence is based on 53 African countries for the period 2004–2011 and Generalised Method of Moments. The following findings are established. First, whereas marginal effects from financial globalisation are positive on financial dynamics of activity and size, corresponding net effects (positive thresholds) are negative (within range). Second, while decreasing financial globalisation returns are apparent for financial dynamics of depth and efficiency, corresponding net effects (negative thresholds) are positive (not within range). Third, financial development dynamics are more weakly stationary and strongly convergent in the pre-crisis period. Fourth, the net effect from the: pre-crisis period is lower on money supply and banking system efficiency; post-crisis period is positive on financial system efficiency and pre-crisis period is positive on financial size. JEL Codes: F02, F21, F30, F40, O10

scholarly journals The Influence of Financial Market Development on Economic Growth in BRICS Countries

2017 ◽  
Vol 53 (1) ◽  
pp. 7-24 ◽  
Author(s):  
Charles Wait ◽  
Tafadzwa Ruzive ◽  
Pierre le Roux
Keyword(s):  
Economic Growth ◽  
Financial Market ◽  
Method Of Moments ◽  
Market Development ◽  
Brics Countries ◽  
Financial Depth ◽  
Endogenous Growth Model ◽  
Financial Market Development ◽  
Generalised Method Of Moments ◽  
Finance Growth Nexus

Abstract The debate about the influence of financial market development on economic growth has been ongoing for more than a century. Since Schumpeter [1912] wrote about the happenings on Lombard Street there has been growing interest in the way financial market development affects economic activity and growth. As development issues have deepened, inquiry into the finance-growth nexus has also grown, with recent research focusing on various aspects of financial crisis and developments in the BRICS economies. This study investigates the influence of financial market development on the higher growth of BRICS as compared to non-BRICS counterparts. The research utilizes the Generalised Method of Moments and an extended endogenous growth model to estimate the influence of a set of financial market indicators. We find that higher private sector levels of credit and financial depth in the BRICS economies contributed to the economic growth of those economies.

scholarly journals Bank risk profile and horizons in financing investment projects: a case study of selected banks in Uzbekistan

2021 ◽  
Vol 7 (5) ◽  
pp. 38-42
Author(s):  
Rustam Sultanov ◽  
Umidjon Duskobilov
Keyword(s):  
Method Of Moments ◽  
Commercial Banks ◽  
Positive Impact ◽  
Risk Profile ◽  
Bank Risk ◽  
Investment Activity ◽  
Investment Projects ◽  
Generalised Method Of Moments ◽  
The Relationship

The article presents the results of risk analysis in financing investment projects. In the example of three commercial banks, the relationship between the factors causing risks and the dynamics of the volume of financing of investment projects was modelled using the two-step generalised method of moments - 2SGMM. According to the results of econometric analysis, among the factors, risk assets, risk profile, interest income and investment activity of banks have a significant positive impact on the dynamics of investment loans.

scholarly journals Generalised Lambda Distributions by Method of Moments and Maximum Likelihood using the JSE-ASI Returns

2017 ◽  
Vol 9 (1) ◽  
pp. 224
Author(s):  
Peterson Owusu Junior ◽  
Carl H. Korkpoe
Keyword(s):  
Maximum Likelihood ◽  
Normal Distribution ◽  
Method Of Moments ◽  
Return Distribution ◽  
Market Returns ◽  
Fit Statistics ◽  
Generalised Method Of Moments ◽  
Tail Events ◽  
Risk Dimensions ◽  
Entire Distribution

The four-parameter generalised lambda distribution provides the flexibility required to describe the key moments of any distribution as compared with the normal distribution which characterises the distribution with only two moments. As markets have increasingly become nervous, the inadequacies of the normal distribution in capturing correctly the tail events and describing fully the entire distribution of market returns have been laid bare. The focus of this paper is to compare the generalised method of moments (GMM) and maximum likelihood essential estimates (MLE) methods as subsets of the GLD for a better fit of JSE All Share Index returns data. We have demonstrated that the appropriate method of the GLD to completely describe the measures of central tendency and dispersion by additionally capturing the risk dimensions of skewness and kurtosis of the return distribution is the Generalised Method of Moments (GMM) with the Kolmogorov-Smirnoff Distance good-of-fit statistics and the quantile-quantile graph. These measures are very important to any investor in the equity markets.

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