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You searched for subject:( Hidden inflation). Showing records 1 – 2 of 2 total matches.

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University of St. Andrews

1. Mpofu, Bekithemba. The relationship between stock market returns and inflation : new evidence from Sub-Saharan Africa .

Degree: 2010, University of St. Andrews

The literature investigating the relationship between stock market returns and inflation is long and has produced diverse findings. This thesis examines the nature of stock–inflation relations in Sub-Saharan countries whose stock markets were established before 1992. Evidence in this thesis shows that in the short term there is a positive relationship between stocks and inflation. Using the Johansen (1988) evidence, a long-run stock–inflation relationship is confirmed only in Nigeria and South Africa, where it is found to be negative. However, accounting for structural breaks provides evidence for a long-run relationship in Botswana, Ghana and Kenya. The evidence of the effects of regimes in the relationship is further supported by a nonparametric cointegration analysis which finds a long-run relation in countries where the Johansen (1988) method had failed. Unexpected inflation is also found to be related to stock returns in Botswana, Ghana, Kenya, Nigeria and Mauritius, which raises concerns about the use of month-end stock data in analysing this relationship. The thesis confirms the existence of hidden inflation in Kenya, Mauritius, Nigeria and Zimbabwe. Imported inflation, interest rates and the exchange rate are found to have useful information about inflation movements in Sub-Saharan Africa. Advisors/Committee Members: McMillan, David G (advisor).

Subjects/Keywords: Inflation; Stock market returns; Hidden inflation; Inflation forecasting; Non-parametric cointegration; Sub-Sahara Africa

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mpofu, B. (2010). The relationship between stock market returns and inflation : new evidence from Sub-Saharan Africa . (Thesis). University of St. Andrews. Retrieved from http://hdl.handle.net/10023/939

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mpofu, Bekithemba. “The relationship between stock market returns and inflation : new evidence from Sub-Saharan Africa .” 2010. Thesis, University of St. Andrews. Accessed October 21, 2019. http://hdl.handle.net/10023/939.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mpofu, Bekithemba. “The relationship between stock market returns and inflation : new evidence from Sub-Saharan Africa .” 2010. Web. 21 Oct 2019.

Vancouver:

Mpofu B. The relationship between stock market returns and inflation : new evidence from Sub-Saharan Africa . [Internet] [Thesis]. University of St. Andrews; 2010. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10023/939.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mpofu B. The relationship between stock market returns and inflation : new evidence from Sub-Saharan Africa . [Thesis]. University of St. Andrews; 2010. Available from: http://hdl.handle.net/10023/939

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Exeter

2. Economou, Theodoros. Bayesian modelling of recurrent pipe failures in urban water systems using non-homogeneous Poisson processes with latent structure.

Degree: PhD, 2010, University of Exeter

Recurrent events are very common in a wide range of scientific disciplines. The majority of statistical models developed to characterise recurrent events are derived from either reliability theory or survival analysis. This thesis concentrates on applications that arise from reliability, which in general involve the study about components or devices where the recurring event is failure. Specifically, interest lies in repairable components that experience a number of failures during their lifetime. The goal is to develop statistical models in order to gain a good understanding about the driving force behind the failures. A particular counting process is adopted, the non-homogenous Poisson process (NHPP), where the rate of occurrence (failure rate) depends on time. The primary application considered in the thesis is the prediction of underground water pipe bursts although the methods described have more general scope. First, a Bayesian mixed effects NHPP model is developed and applied to a network of water pipes using MCMC. The model is then extended to a mixture of NHPPs. Further, a special mixture case, the zero-inflated NHPP model is developed to cope with data involving a large number of pipes that have never failed. The zero-inflated model is applied to the same pipe network. Quite often, data involving recurrent failures over time, are aggregated where for instance the times of failures are unknown and only the total number of failures are available. Aggregated versions of the NHPP model and its zero-inflated version are developed to accommodate aggregated data and these are applied to the aggregated version of the earlier data set. Complex devices in random environments often exhibit what may be termed as state changes in their behaviour. These state changes may be caused by unobserved and possibly non-stationary processes such as severe weather changes. A hidden semi-Markov NHPP model is formulated, which is a NHPP process modulated by an unobserved semi-Markov process. An algorithm is developed to evaluate the likelihood of this model and a Metropolis-Hastings sampler is constructed for parameter estimation. Simulation studies are performed to test implementation and finally an illustrative application of the model is presented. The thesis concludes with a general discussion and a list of possible generalisations and extensions as well as possible applications other than the ones considered.

Subjects/Keywords: NHPP : random effects : zero-inflation : MCMC : hidden semi-Markov : water pipe failures

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Economou, T. (2010). Bayesian modelling of recurrent pipe failures in urban water systems using non-homogeneous Poisson processes with latent structure. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10036/111499

Chicago Manual of Style (16th Edition):

Economou, Theodoros. “Bayesian modelling of recurrent pipe failures in urban water systems using non-homogeneous Poisson processes with latent structure.” 2010. Doctoral Dissertation, University of Exeter. Accessed October 21, 2019. http://hdl.handle.net/10036/111499.

MLA Handbook (7th Edition):

Economou, Theodoros. “Bayesian modelling of recurrent pipe failures in urban water systems using non-homogeneous Poisson processes with latent structure.” 2010. Web. 21 Oct 2019.

Vancouver:

Economou T. Bayesian modelling of recurrent pipe failures in urban water systems using non-homogeneous Poisson processes with latent structure. [Internet] [Doctoral dissertation]. University of Exeter; 2010. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10036/111499.

Council of Science Editors:

Economou T. Bayesian modelling of recurrent pipe failures in urban water systems using non-homogeneous Poisson processes with latent structure. [Doctoral Dissertation]. University of Exeter; 2010. Available from: http://hdl.handle.net/10036/111499

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