138 Records out of 22207 Records

The application of heterogeneous asset pricing model in the residential real estate market in Kenya

Author: Wanjohi, Francis Kibugi

Awarding University: University of Nairobi, Kenya

Level : MBA

Year: 2012

Holding Libraries: University of Nairobi Jomo Kenyatta Memorial Library ;

Subject Terms: Prices/Models/Residential buildings/Real estate companies/Property values ;

Abstract:

This project assesses the applicability of heterogeneous asset pricing model in pricing heterogeneous assets, with specific examination of the Kenyan residential real estate market. Each of the three primary methods for pricing residential real estate assets -income, cost and sales comparables approaches - is susceptible to bias. This project therefore, mainly seeks to establish an alternative methodology with view to reducing subjectivity of the pricing process. The study also has a secondary objective of assessing how heuristic biases influence the pricing process leading to subjectivity. The study uses case study design, specifically Nairobi City residential real estate market, from where a sample is drawn and survey done. Methodological comparisons are made in the study of pricing of residential real estate market. Using a few residential properties from Nairobi City, the prices are independently estimated using the three traditional approaches. The prices of the selected properties are then estimated using heterogeneous asset pricing model in its simplest form, to test its applicability. This allows a controlled cross-methodology comparison of results. The results indicate that, heterogeneous asset pricing model is applicable in pricing of residential real estate assets in Kenya thus confirming the hypothesis of the study. The study also indicate that stereotypes, aversion to ambiguity, conservatism are some of the psychological bias that influence the pricing process of residential real estate assets. For instance, conservatism is seen where valuers fail to undertake fresh market analysis and continue to use comparables of sales made in the past. The study therefore concluded that the pricing of heterogeneous asset pricing model is applicable and if well modeled and controlled, it has better results. The study recommends polity and academia review to base pricing of residential real estate assets on concepts of price distributions, pricing models and prediction error analysis. Further, the study recommends that the psychological bias should be identified and valuers trained on how to deal with them so as to reduce the subjectivity in pricing of heterogeneous real estate assets.

Influence of headteachers' initiatives on girl-child's access to primary school education in Kajiado North district, Kenya

Author: Kariuki, Lawrence Waiyaki

Awarding University: University of Nairobi, Kenya

Level : MED

Year: 2012

Holding Libraries: University of Nairobi Jomo Kenyatta Memorial Library ;

Subject Terms: Kajiado North District/Primary education/Girls/Enrollments/Educators/Role models ;

Abstract:

The purpose of the study was to investigate the influence of headteachers initiatives on girl-child access to primary school education in Kajiado North district, Kenya. Five research objectives were designed to guide the study. To determine the extent to which headteachers have been mobilizing parents to support girl child education; to determine the extent to which headteachers provision of physical facilities influence girl's access to public primary education; to establish the extent to which guidance and counseling programme services put in place by the headteachers influences girl-child access to education; to determine the extent to which to which the school environmental factor such as school policies, sexual harassment and safety influence the access of girl-child education and establish the influence of role model on girl-child access in education in Kajiado North District. This study was conducted using the descriptive survey design which is a method of collecting information by interviewing or administering a questionnaire to a sample of individuals. The sample for the study comprised of 70 headteachers, 240 teachers and 384 pupils. Data were collected by use of questionnaire and analyzed using statistical package for social sciences (SPSS version 12). The findings revealed that headteachers mobilization of parents influenced access to girl child education. Provision of physical facilities influenced girls' access to education. Headteachers' provision of guidance and counseling services influenced girl-child's access to education. School environmental influenced girl-child access to education in Kajiado North district and it also revealed that provision of role models influenced girl child education. Based on the findings of the study, it was concluded that headteachers' initiatives have influence access of girl-child education. The headteachers had put up several forms of mobilization of the parents to enhance girls' access in education. They have put up initiatives such as awarding the best girls in the schools so that other girls could be motivated; following up on girls' performance. The study also concluded that provision of physical facilities by the headteachers had an influence of girls' access to schools. The study further concluded that headteachers' provision of guidance and counseling services influenced girl-child's access to education. There were guidance and counseling services in the schools. The findings also concluded that school environmental factors influenced girl-child access to education. Provision of role models influenced girl child education. For instance, head teachers indicated that they had provided the girls with role models to interact with them and had done it frequently. Most of the teachers said community role models were invited to schools. Based on the findings some recommendations were made in ways of promoting girls access to education. The government should post teachers and especially female headteachers who could be role models for girls and also handle girls' problems. The provincial administration should enforce policies on girl child education and protection by, for example, arresting parents who prevented their children from going to school. The study suggested that a study be carried out to establish the relationship between pupils' home background and girls' academic performance should be conducted. It was further suggested that a study to establish the relationship between headteachers and teachers' demographic characteristics and girls' access to education should be conducted. Lastly a study to determine the effect of gender policy on education and girls' access to education should be conducted.

The applicability of Altman's revised bankruptcy prediction model among Commercial banks in Kenya

Author: Kiminza, Abednego

Awarding University: University of Nairobi, Kenya

Level : MBA

Year: 2012

Holding Libraries: University of Nairobi Jomo Kenyatta Memorial Library ;

Subject Terms: Bankruptcy/Predictions/Models/Commercial banks ;

Abstract:

Bankruptcy is a legal proceeding involving a business that is unable to repay outstanding debts. The process begins with a petition filed by debtors or creditors whereby all debtors' assets are measured and evaluated . These assets are used to repay a portion of the outstanding debt and upon successful completion of the proceedings the debtors are relieved of the debt obligation. Previous studies done have showed that it is possible to discriminate financially healthy firms from those facing distress with Altman's model being the most prominent model . The study concurred with all these studies. The objective of the study was to test whether Altman's revised bankruptcy prediction model could be used to predict bankruptcy among commercial banks in Kenya. The study dwelt on historical data collected longitudinally for the period between 2000 and 2011. The population of the study was composed of all the 43 operational commercial banks in Kenya and the 8 banks that failed between 2000 and 2011. The banks analyzed were 21 non failed and 8 failed banks during the period from 2000 to 2011. The source of the secondary data was the financial reports of the banks from Nairobi Securities Exchange and the Central bank archives. The research found out that Altman's revised bankruptcy prediction model was applicable it). 16 out the 21 non failed banks analyzed which indicated 76% success while in the category of failed banks 8 out of the 8 banks analyzed the model accurately predicted bankruptcy indicating 100010 validity. The study concluded that Altman's bankruptcy prediction model was a useful tool for all the stakeholders in the Kenyan commercial banking industry. The study recommended that the management of all commercial banks should pay much attention to liquidity and profitability ratios as these can be used to detect early signs of financial distress. The study further recommended that a research be done using Zavgren's model that shows the probability of bankruptcy unlike Altman's model.

Agents based control and coordination model for a distributed wireless sensor network to maximize field life

Author: Kirui, Ronald Kipyegon

Awarding University: University of Nairobi, Kenya

Level : MSc

Year: 2012

Holding Libraries: University of Nairobi Jomo Kenyatta Memorial Library ;

Subject Terms: Agents/Models/Wireless networks ;

Abstract:

In recent years, wireless sensor network deployments for real life applications have rapidly increased. However, energy control remains one of the major barriers hindering complete exploitation of this technology because sensor nodes are usually powered by batteries with a limited lifetime. Therefore efficient energy management is key requirement for the success of a wireless sensor network. In this project, we proposed a distributed agent based model to solve the issue of energy management in WSNs. In our approach, sensor nodes are modeled as agents. One of the agents is a controller agent called the expert sensor agent (ESA). The ESA at the start of sensing sets a threshold energy level. During sensing, the ESA continuously monitors each of the other sensor agents' energy levels and if a sensor node's power level falls below the threshold, the ESA deactivates the node and at the same time activates one of the nodes currently in sleep mode. At the of the day, the sensing work load is equitably distributed across the nodes. The model was implemented using simulation experiments in OPNET. We evaluated our agent based model against none agent based technique in terms of power consumed and end to end delay (ETE). Our simulation results indicate that our agent based model achieves over 75% power savings compared to the non-agent techniques while at the same time ensuring real time delivery of data.

The applicability of Altman's failure prediction models in the insurance companies in Kenya

Author: Kirui, Lawrence K

Awarding University: University of Nairobi, Kenya

Level : MBA

Year: 2012

Holding Libraries: University of Nairobi Jomo Kenyatta Memorial Library ;

Subject Terms: Predictions/Models/Insurance companies/Business failures/Altman, Edward ;

Abstract:

There is a dire need for prediction of business failures since the results'of business failure leads to heavy losses both financially and non-financially. Thus a model that could accurately predict business failure in time would be quite useful to managers, shareholders, the government, suppliers, customers, employees amongst other stakeholders. The prediction of business failure is an important and challenging issue that has served as the impetus for many academic studies over the past three decades. The objective of the study was to determine the applicability of Altman's failure prediction models in the insurance companies in Kenya. The population of the study was composed of Insurance firms that operated in Kenya between 2000 and 2011. All the firms still in operation were used in the study and the five firms that become insolvent during the period were also used. The source of secondary data was from financial reports of these solvent and insolvent companies at the Insurance Regulatory Authority. The research study revealed that Edward Altman's financial distress prediction model was applicable in 4 out of the 5 failed firms that were analyzed, which indicates an 80% successful prediction of the model. On the 36 non-failed firms analyzed, 24 of them proved that Edward Altman's financial distress prediction model was successful indicating a 69% validity of the model. The study concludes that Edward Altman model of predicting financial failure of companies was a useful tool for predicting failure of insurance companies in Kenya.

Iterative principal factor analysis-application on ordinal data

Author: Njatha, Moses Mwangi

Awarding University: University of Nairobi, Kenya

Level : MSc

Year: 2012

Holding Libraries: University of Nairobi Jomo Kenyatta Memorial Library ;

Subject Terms: Variables ; Mathematical models ;

Abstract:

This study discusses the procedure of variables reduction that improves assessment of attributes for a subject of interest. Details of how measured variables can be used to obtain a set of unobserved underlying factors are provided. These factors though considered obvious it is shown how they can be quantified. Two ordinal data sets of data are used to discuss the different considerations of the procedure. Starting with results of principal component analysis the study uses iterative principal factor analysis. Assuming orthogonal relationship of possible sets of factors, Varimax rotation is applied to distribute variation among factors. The results show how a better fit of a common factor model can be obtained with the consideration of changes in individual communalities. The model considered to provide the best fit explains 62.5% of the variation and includes measured variables with communalities more than 0.5.

Modeling job satisfaction among call center agents : Ordinal Regression Model

Author: Njoroge, Peter Wainaina

Awarding University: University of Nairobi, Kenya

Level : MSc

Year: 2012

Holding Libraries: University of Nairobi Jomo Kenyatta Memorial Library ;

Subject Terms: Job satisfaction ; Call centers ; Mathematical models ;

Abstract:

Job satisfaction in call centers offers a multi-disciplinary approach covering such disciplines as Operations Research and Management, Mathematics and Statistics, Forecasting and Modeling, Industrial Engineering, Information Technology, Human Resource Management, Psychology, and Sociology. In Mathematics and Statistics context, researchers_ focuses on efficient call center operation and optimal staffing using mathematical modeling and queuing theory. Call centers are identified by a variety of names: contact center, customer service center, customer interaction center, and call center. A call center is basically a communications link between a company and its customers. It is through the call center that customers give feedback on products and services, the network and suggestions on what can be improved as well as appreciation for the service provided as a company. This study expands the use of statistical models - Ordinal Regression Models to an extensive spectrum of thoughts and links various factors affecting job satisfaction. The researcher investigated the relationship between job satisfaction and factors leading to job dissatisfaction. The study found that there many factors affecting job satisfaction among employee on call centers these are communications within the organization, relationship with coworkers, benefit package which are equitable, salary increase and supervision in the organization, recognition through promotion ,fair payment for the work, reward given to employee and sense of pride in doing my job.

Fertility models based on mixtures and compound distributions

Author: Nyaga, John Gatumu

Awarding University: University of Nairobi, Kenya

Level : MSc

Year: 2012

Holding Libraries: University of Nairobi Jomo Kenyatta Memorial Library ;

Subject Terms: Fertility ; Models ; Statistical methods ;

Abstract:

A considerable amount of work has been done regarding the fertility study in mathematical demography. Most researchers used Beta distribution since it a classic example of a distributions in the [0,1] domain. This project is prepared with the intention of reviewing some probability models generated through mixed and Compound distributions by different researchers, considering other distributions in the [0,1] as mixing distribution, as well as modifying some the distributions for applications to specific populations.

The implementation of the organization performance index excellence model and business performance in Kenya

Author: Nyambala, Catherine A

Awarding University: University of Nairobi, Kenya

Level : MBA

Year: 2012

Holding Libraries: University of Nairobi Jomo Kenyatta Memorial Library ;

Subject Terms: Performance standards ; Excellence ; Models ; Business enterprises ; Financial performance ;

Abstract:

Many companies have adopted and implemented Quality Management systems and achieved varying levels of success. Through an operational framework adapted from Seraph (1989), this study analyses a dataset of responses to hypotheses presented to a purposive sample of TQM practitioners from companies that have participated in OPIlKABA Excellence model in Kenya, respondents are asked to use the Likert Scale to rank the hypotheses from which the conclusions are drawn. The success factors that are most significant are the extensive analysis of customer requirements before releasing a product or service into the market; adequate communication on the Business Excellence initiative processes, practices, and products; and the periodic assessment of services for improvement. The poorest enablers are staff coercion into embracing OPI by the leadership; communication on quality practise by the OPI champions alone and focus by departments on their own goals rather than a common focus.. The conclusion is that participation in and adopting of the OPI Excellence approach is positively related to business performance. The study recommends that further research could be done to study changes in business performance before and after the implementation of OPI, as well as to qualitatively examine business excellence models.

Empirical evaluation of bankruptcy models estimated by University of Nairobi Masters in Business Administration (MBA) studies

Author: Onguka, Renis Akinyi

Awarding University: University of Nairobi, Kenya

Level : MBA

Year: 2012

Holding Libraries: University of Nairobi Jomo Kenyatta Memorial Library ;

Subject Terms: Research ; Bankruptcy ; Models ; University of Nairobi, Kenya ; MBA programs and graduates ;

Abstract:

A contemporary threat to businesses today, despite their size and nature of operations is insolvency. The developments in the corporate environment highlight the importance of default prediction both in academia and industry. In developed countries, bankruptcy prediction models have been developed and are continually improved to match with the economic changes. In Kenya, various bankruptcy prediction models have been proposed by Masters in Business Administration (MBA) students but they are not being widely used by the industry though there are reported cases of unpredicted bankruptcies as firms go under. This historical study tests the validity of six bankruptcy prediction models in a Kenyan context. The population for this study consisted of all firms listed at the Nairobi Securities Exchange from 1970 to 2009. Of the business failure prediction models tested over a period of five years on ten failed and ten non-failed firms, three of the models had prediction of accuracy of above 80%. Specifically, the models that incorporate profitability, leverage and liquidity ratios seem to be accurate predictors of business failure. There are however certain firms, that the models would classify in - accurately mostly because of environmental or firm specific factors. The findings also infer that specialized industry specific models like the insurance industry or banking industry models may not be applicable in general company bankruptcy prediction.