Purpose – The financial systems in many emerging countries are still impacted by the devastating effect of the 2008 financial crisis which created a massive disaster in the global economy. The banking sector needs appropriate quantitative techniques to assess its financial soundness, strengths and weaknesses. This research aims to explore, empirically assess and analyze the financial soundness of the banking sector in Kazakhstan. It also examines the prediction of financial unsoundness at an individual bank level using PCA, cluster, MDA, logit and probit analyses. Design/Methodology/Approach – A cluster analysis, in combination with principal component analysis (PCA), was utilized as a classification technique. It groups sound and unsound banks in Kazakhstan's banking sector by examining various financial ratios. Cluster analysis was run on a sample of 34 commercial banks on 1st January, 2008 and 37 commercial banks on 1st January, 2014 to test the ability of this technique to detect unsound banks before they fail. Then, Altman Z” and EM Score models were tested and re-estimated and the MDA, logit and probit models were constructed on a sample of 12 Kazakhstan banks during the period between 1st January, 2008 and 1st January, 2014. The sample consists of 6 sound and 6 unsound banks and accounts for 81.3% of the total assets of the Kazakhstan banking sector in 2014. These statistical methods used various financial variables to represent capital adequacy, asset quality, management, earnings and liquidity. Last but not least, the MDA, logit and probit models were systematically combined together to construct an integrated model to predict bank financial unsoundness. Findings – First of all, results from Chapter 3 indicate that cluster analysis is able to identify the structure of the Kazakh banking sector by the degree of financial soundness. Secondly, based on the findings in the second empirical chapter, the tested and re-estimated Altman models show a modest ability to predict bank financial unsoundness in Kazakhstan. Thirdly, the MDA, logit and probit models show high predictive accuracy in excess of 80%. Finally, the model that integrated the MDA, logit and probit types presents superior predictability with lower Type I errors. Practical Implications – The results of this research are of interest to supervisory and regulatory bodies. The models can be used as a reliable and effective tool, particularly the cluster based methodology for assessing the degree of financial soundness in the banking sector and the integrated model for predicting the financial unsoundness of banks. Originality/Value – This study is the first to employ a cluster-based methodology to assess financial soundness in the Kazakh banking sector. In addition, the integrated model can be used as a promising technique for evaluating the financial unsoundness of banks in terms of predictive accuracy and robustness. Importance – Assessing the financial soundness of the Kazakh banking system is of particular importance as the World Bank has ranked Kazakhstan as leading the world for the volume of non-performing credits in the total number of loans granted in 2012. It is one of the first academic studies carried out on Kazakhstan banks which comprehensively evaluate the financial soundness of banks. It is anticipated that the findings of the current study will provide useful lessons for developing and transition countries during periods of financial turmoil.

Fruit-feeding butterfly assemblages at two indigenous forests in KwaZulu-Natal, the Dlinza and Entumeni forests were studied with baited traps during a year cycle June 2008-May 2009 and an additional March-May 2010 (autumn) survey. A total of 2801 butterflies were trapped, which consisted of 28 species, representing five subfamilies of the Nymphalidae, with the most abundant and species rich subfamily being Charaxinae. Higher than expected abundances and numbers of species trapped during the present study, though significantly lower than some tropical areas in Africa, demonstrate that this technique of quantifying assemblages with baited-traps are effective in forests of KwaZulu-Natal, South Africa and should be included in future butterfly assessments. During a mark-release-recapture survey, very few fruit-feeding butterflies were recaptured, with no observed dispersal events between the two forests. A high turnover of fruit-feeding butterfly populations reflects adequacy of habitat quality and size at both the forests for the conservation of this guild of butterfly fauna. Season had a marked effect on butterfly assemblages with optimal times of the year emerging as autumn and winter, when butterfly abundance and species richness were highest. Abundance and diversity (Shannon index) at the smaller Dlinza forest were marginally higher or at least very similar to that of the larger Entumeni forest. Higher species richness (d) was recorded at the larger Entumeni forest. A greater number of individuals and higher number of species were trapped at both forest edges in comparison to forest interior (clearings). Species richness (d) and diversity (Shannon index) at Dlinza forest were higher at the interior (forest clearings) compared to that of the Dlinza forest edge. In contrast higher species richness and diversity (Shannon index) were recorded at the Entumeni edge if compared to the Entumeni interior. Highest species richness (d) was consistently recorded at the Entumeni forest edge. Similarity between the species compositions of both forests was high. The Entumeni forest are imbedded in a larger zone of natural grassland in contrast to the Dlinza forest which is partly located in an urban setting with small or absent grassland buffer zones. Altitudinal differences between these forests had lesser influence on the fruit-feeding butterfly assemblages whilst the closer urban edge at the Dlinza forest appears to contribute to a negative impact on the species richness at the forest margin. Recommendations to the conservation management of the Dlinza and Entumeni forests, stemming from this study, include conserving small forest remnants as part of stepping stone corridors between the forests, eradication of alien invasive plant species, conserving grassland buffer zones in which the forests are embedded and caution to any future developments in this unique area. Awareness to preserve and understand the wealth of indigenous smaller fauna, which are dependent on these magnificent forests, is to be promoted. / Thesis (Master of Environmental Sciences)--North-West University, Potchefstroom Campus, 2012.

Fruit-feeding butterfly assemblages at two indigenous forests in KwaZulu-Natal, the Dlinza and Entumeni forests were studied with baited traps during a year cycle June 2008-May 2009 and an additional March-May 2010 (autumn) survey. A total of 2801 butterflies were trapped, which consisted of 28 species, representing five subfamilies of the Nymphalidae, with the most abundant and species rich subfamily being Charaxinae. Higher than expected abundances and numbers of species trapped during the present study, though significantly lower than some tropical areas in Africa, demonstrate that this technique of quantifying assemblages with baited-traps are effective in forests of KwaZulu-Natal, South Africa and should be included in future butterfly assessments. During a mark-release-recapture survey, very few fruit-feeding butterflies were recaptured, with no observed dispersal events between the two forests. A high turnover of fruit-feeding butterfly populations reflects adequacy of habitat quality and size at both the forests for the conservation of this guild of butterfly fauna. Season had a marked effect on butterfly assemblages with optimal times of the year emerging as autumn and winter, when butterfly abundance and species richness were highest. Abundance and diversity (Shannon index) at the smaller Dlinza forest were marginally higher or at least very similar to that of the larger Entumeni forest. Higher species richness (d) was recorded at the larger Entumeni forest. A greater number of individuals and higher number of species were trapped at both forest edges in comparison to forest interior (clearings). Species richness (d) and diversity (Shannon index) at Dlinza forest were higher at the interior (forest clearings) compared to that of the Dlinza forest edge. In contrast higher species richness and diversity (Shannon index) were recorded at the Entumeni edge if compared to the Entumeni interior. Highest species richness (d) was consistently recorded at the Entumeni forest edge. Similarity between the species compositions of both forests was high. The Entumeni forest are imbedded in a larger zone of natural grassland in contrast to the Dlinza forest which is partly located in an urban setting with small or absent grassland buffer zones. Altitudinal differences between these forests had lesser influence on the fruit-feeding butterfly assemblages whilst the closer urban edge at the Dlinza forest appears to contribute to a negative impact on the species richness at the forest margin. Recommendations to the conservation management of the Dlinza and Entumeni forests, stemming from this study, include conserving small forest remnants as part of stepping stone corridors between the forests, eradication of alien invasive plant species, conserving grassland buffer zones in which the forests are embedded and caution to any future developments in this unique area. Awareness to preserve and understand the wealth of indigenous smaller fauna, which are dependent on these magnificent forests, is to be promoted. / Thesis (Master of Environmental Sciences)--North-West University, Potchefstroom Campus, 2012.

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Quantitative Techniques is traditionally a subject with a poor pass rate at Walter Sisulu University. In search of a turnaround strategy, the purpose of this study was to determine the level of problem-solving proficiency of Quantitative Techniques students, which is suspected to influence achievement in this subject. A descriptive survey design was used in this research. Second-year ND (Marketing) students (128) took part in the study. A questionnaire and a written test were used to collect data. A profile of participants’ problem-solving was determined. Their weaknesses and strengths in problem-solving were investigated. The problem-solving proficiency of participants with regards to the biographical variables of Gender, Age, Mathematics background and whether they took Data Handling training at school or not were explored. A model, based on Polya’s four stages of problem-solving, was used to measure the students’ level of problem-solving proficiency, which was 59,16%. Findings suggest that the students achieved highest in understanding a problem (72,29%) and making a plan to solve the problem (73,77%). They are weakest at interpreting their results (29,38%). MANOVA results showed no statistical significance for the biographical variables. The univariate results suggest that age, Data Handling training at school and Gender could affect problem-solving proficiency. Since the findings of this study indicate a strong relationship between participants’ problem-solving proficiency and their actual achievement, some intervention is recommended. An intervention could be in the form of a section on problem-solving in the course, supplemental instruction or an introductory course. Course and curriculum content should be revised to address students’ proficiency in problem-solving. / Mathematical Sciences / M. A. (Statistics Education)

Quantitative Techniques is traditionally a subject with a poor pass rate at Walter Sisulu University. In search of a turnaround strategy, the purpose of this study was to determine the level of problem-solving proficiency of Quantitative Techniques students, which is suspected to influence achievement in this subject. A descriptive survey design was used in this research. Second-year ND (Marketing) students (128) took part in the study. A questionnaire and a written test were used to collect data. A profile of participants’ problem-solving was determined. Their weaknesses and strengths in problem-solving were investigated. The problem-solving proficiency of participants with regards to the biographical variables of Gender, Age, Mathematics background and whether they took Data Handling training at school or not were explored. A model, based on Polya’s four stages of problem-solving, was used to measure the students’ level of problem-solving proficiency, which was 59,16%. Findings suggest that the students achieved highest in understanding a problem (72,29%) and making a plan to solve the problem (73,77%). They are weakest at interpreting their results (29,38%). MANOVA results showed no statistical significance for the biographical variables. The univariate results suggest that age, Data Handling training at school and Gender could affect problem-solving proficiency. Since the findings of this study indicate a strong relationship between participants’ problem-solving proficiency and their actual achievement, some intervention is recommended. An intervention could be in the form of a section on problem-solving in the course, supplemental instruction or an introductory course. Course and curriculum content should be revised to address students’ proficiency in problem-solving. / Mathematical Sciences / M. A. (Statistics Education)