Wavelet Theory: for Economic & Financial Cycles
- Authors: Mlambo, Farai Fredric
- Date: 2019-12
- Subjects: Wavelets (Mathematics) , Finance -- Mathematical models , Economic forecasting
- Language: English
- Type: Doctoral theses , text
- Identifier: http://hdl.handle.net/10948/49930 , vital:41861
- Description: Cycles - their nature in existence, their implications on human-kind and the study thereof have sparked some important philosophical debates since the very pre-historic days. Notable contributions by famous, genius philosophers, mathematicians, historians and economists such as Pareto, Deulofeu, Danielewski, Kuznets, Kondratiev, Elliot and many others in itself shows how cycles and their study have been deemed important, through the history and process of scientific and philosophical inquiry. Particularly, the explication of Business, Economic and Financial cycles have seen some significant research and policy attention. Nevertheless, most of the methodologies employed in this space are either purely empirical in nature, time series based or the so-called Regime-Switching Markov model popularized in Economics by James Hamilton. In this work, we develop a Statistical, non-linear model fit based on circle geometry which is applicable for the dating of cycles. This study proposes a scalable, smooth and differentiable quarter-circular wavelet basis for the smoothing and dating of business, economic and financial cycles. The dating then necessitates the forecasting of the cyclical patterns in the evolution of business, economic and financial time series. The practical significance of dating and forecasting business and financial cycles cannot be over-emphasized. The use of wavelet decomposition in explaining cycles can be seen as an critical contribution of spectral methods of statistical modelling to finance and economic policy at large. Being a relatively new method, wavelet analysis has seen some great contribution in geophysical modelling. This study endeavours to widen the use and application of frequency-time decomposition to the economic and financial space. Wavelets are localized in both time and frequency, such that there is no loss of the time resolution. The importance of time resolution in dating of cycles is another motivation behind using wavelets. Moreover, the preservation of time resolution in wavelet analysis is a fundamental strength employed in the dating of cycles. , Thesis (DPhil) -- Faculty of Science, Mathematical Statistics, 2019
- Full Text:
- Date Issued: 2019-12
- Authors: Mlambo, Farai Fredric
- Date: 2019-12
- Subjects: Wavelets (Mathematics) , Finance -- Mathematical models , Economic forecasting
- Language: English
- Type: Doctoral theses , text
- Identifier: http://hdl.handle.net/10948/49930 , vital:41861
- Description: Cycles - their nature in existence, their implications on human-kind and the study thereof have sparked some important philosophical debates since the very pre-historic days. Notable contributions by famous, genius philosophers, mathematicians, historians and economists such as Pareto, Deulofeu, Danielewski, Kuznets, Kondratiev, Elliot and many others in itself shows how cycles and their study have been deemed important, through the history and process of scientific and philosophical inquiry. Particularly, the explication of Business, Economic and Financial cycles have seen some significant research and policy attention. Nevertheless, most of the methodologies employed in this space are either purely empirical in nature, time series based or the so-called Regime-Switching Markov model popularized in Economics by James Hamilton. In this work, we develop a Statistical, non-linear model fit based on circle geometry which is applicable for the dating of cycles. This study proposes a scalable, smooth and differentiable quarter-circular wavelet basis for the smoothing and dating of business, economic and financial cycles. The dating then necessitates the forecasting of the cyclical patterns in the evolution of business, economic and financial time series. The practical significance of dating and forecasting business and financial cycles cannot be over-emphasized. The use of wavelet decomposition in explaining cycles can be seen as an critical contribution of spectral methods of statistical modelling to finance and economic policy at large. Being a relatively new method, wavelet analysis has seen some great contribution in geophysical modelling. This study endeavours to widen the use and application of frequency-time decomposition to the economic and financial space. Wavelets are localized in both time and frequency, such that there is no loss of the time resolution. The importance of time resolution in dating of cycles is another motivation behind using wavelets. Moreover, the preservation of time resolution in wavelet analysis is a fundamental strength employed in the dating of cycles. , Thesis (DPhil) -- Faculty of Science, Mathematical Statistics, 2019
- Full Text:
- Date Issued: 2019-12
Job satisfaction at a public hospital in the Nelson Mandela Bay: Lived experiences of professional nurses
- Authors: Vamva, Valencia Nomawethu
- Date: 2019-12
- Subjects: Nursing -- Job satisfaction -- South Africa -- Eastern Cape , Public hospitals -- South Africa -- Nelson Mandela Bay Municipality , Public health Nursing
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/60843 , vital:67951
- Description: Job satisfaction has been recognised as one of the most important factors influencing a nurse’s desire to remain in the nursing profession. Nurses play a pivotal role in determining the efficiency, effectiveness and sustainability of the healthcare system. Understanding the job satisfaction of professional nurses in public hospitals is critical because it has a direct relationship with turnover rates. The aim of the study was to explore the lived experiences of professional nurses at a public hospital in the Nelson Mandela Bay. The research design was a qualitative, descriptive phenomenological design. The research population for this study was professional nurses in a public hospital of the Nelson Mandela Bay. A non-probability, purposive sampling method was used. The data collection method for this study was face-to-face, semi-structured interviews with the professional nurses. Trustworthiness was based on the four criteria of trustworthiness which are: credibility, dependability, transferability and confirmability. The ethical standards for this study were based on the three principles of the Belmont Report which are respect for persons, beneficence and justice. Professional nurses are important in the health care system because of their provision of adequate health care. Literature has indicated that the public sector hospitals of South Africa have many challenges. The challenges faced by these public sector hospitals may affect the nurses’ job satisfaction, their performance and the quality of care. This study was helpful as it explored the experiences of professional nurses regarding job satisfaction in a public hospital of the Nelson Mandela Bay. The professional nurses highlighted the aspects of their work environment that influenced their job satisfaction and recommendations were made to resolve the situation. These were the need for sufficient staff, adequate salaries, a management-staff bond, continuous development of staff, the need for supervisors to monitor staff tardiness, sufficient resources and their maintenance, improvement of hospital infrastructure and ensuring staff safety. , Thesis (MA) -- Faculty of Humanities, School of Governmental and Social Sciences, 2019
- Full Text:
- Date Issued: 2019-12
- Authors: Vamva, Valencia Nomawethu
- Date: 2019-12
- Subjects: Nursing -- Job satisfaction -- South Africa -- Eastern Cape , Public hospitals -- South Africa -- Nelson Mandela Bay Municipality , Public health Nursing
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/60843 , vital:67951
- Description: Job satisfaction has been recognised as one of the most important factors influencing a nurse’s desire to remain in the nursing profession. Nurses play a pivotal role in determining the efficiency, effectiveness and sustainability of the healthcare system. Understanding the job satisfaction of professional nurses in public hospitals is critical because it has a direct relationship with turnover rates. The aim of the study was to explore the lived experiences of professional nurses at a public hospital in the Nelson Mandela Bay. The research design was a qualitative, descriptive phenomenological design. The research population for this study was professional nurses in a public hospital of the Nelson Mandela Bay. A non-probability, purposive sampling method was used. The data collection method for this study was face-to-face, semi-structured interviews with the professional nurses. Trustworthiness was based on the four criteria of trustworthiness which are: credibility, dependability, transferability and confirmability. The ethical standards for this study were based on the three principles of the Belmont Report which are respect for persons, beneficence and justice. Professional nurses are important in the health care system because of their provision of adequate health care. Literature has indicated that the public sector hospitals of South Africa have many challenges. The challenges faced by these public sector hospitals may affect the nurses’ job satisfaction, their performance and the quality of care. This study was helpful as it explored the experiences of professional nurses regarding job satisfaction in a public hospital of the Nelson Mandela Bay. The professional nurses highlighted the aspects of their work environment that influenced their job satisfaction and recommendations were made to resolve the situation. These were the need for sufficient staff, adequate salaries, a management-staff bond, continuous development of staff, the need for supervisors to monitor staff tardiness, sufficient resources and their maintenance, improvement of hospital infrastructure and ensuring staff safety. , Thesis (MA) -- Faculty of Humanities, School of Governmental and Social Sciences, 2019
- Full Text:
- Date Issued: 2019-12
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