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Stochastic Models for Population of Pakistan

Thesis Info

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Author

Zakria, Muhammad

Program

PhD

Institute

Allama Iqbal Open University

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2009

Thesis Completion Status

Completed

Subject

Mathemaics

Language

English

Link

http://prr.hec.gov.pk/jspui/handle/123456789/946

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676727240888

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TITLE: Stochastic Models for Population of Pakistan PAGES: 182 STUDENT: Muhammad Zakria SUPERVISOR: Professor Dr. Faqir Muhammad UNIVERSITY: Allama Iqbal Open University, Islamabad, Pakistan YEAR: 2005-2009 SUBJECT: Statistics DEGREE: Ph.D Population of Pakistan is projected by scientists, bureaus and countries using different methodologies. In this study, population projections, its age-sex distribution vision 2030 and inequality of the recorded and projected age-sex distribution is projected by different methods. Moreover, the reproductive cohort measure and fertility trends of the population during the last 20 years are measured. The said goals are achieved by using the population censuses data. First of all, the quality of all censuses data is checked and found to be very poor especially of 1972 census. Different popular smoothing techniques are used to smooth the census data and strong smoothed data is used for further analysis. A time series model i.e. ARIMA (1, 2, 0) W was found to be a parsimonious model and population is projected for the next 20 years. It would be approximately 230.68 million in 2027 along with 95% confidence limits 193.33 million and 275.25 million. The age sex distribution as well as iv the total population is also projected by using the Modified Markov chain method for 40 years ahead since 1981. The Projections by the Time series models and the Modified Markov chain method are more close to the projections of four internationally known bureaus i.e. (WPP 2008; People Facts and Figures & Total Population by Country 2009) and greater than (NIPS 2006; IDB 2008). Gini coefficients of the projected age sex distribution indicated the medium level of concentration during the next 20 years. Approximately 43.74%, 47.27% and 45.46% decrease in TFR has been seen in rural areas, urban areas and in Pakistan respectively during 1984-2005. Different polynomial models are studied and third degree polynomial model is recommended to fit on the age specific fertility rates of Pakistan and its rural urban regions.
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ایک تو ہے صدمات نے گھیرا

ایک تو ہے صدمات نے گھیرا
اس پہ اپنی ذات نے گھیرا

کیسے ہوش سنبھالوں اپنے
غم کی ہے بہتات نے گھیرا

ہم کو یاد تھے ہم ہی آئے
پیروں کو جب پات نے گھیرا

اپنی ذات نفی میں ڈالی
ہم کو جب اثبات نے گھیرا

اک مفلس کی شامت آئی
کچا گھر برسات نے گھیرا

اس نے کبھی پھر دن نہیں دیکھا
جس کو ہجر کی رات نے گھیرا

قرآنی اصولوں کی روشنی میں معاشرتی استحکام

Islam is the religion of nature. It not only approves the social interaction among the masses, but also helps in its development towards positive ends. Islam has given natural and universal principles which help its followers to develop a harmonious society, discouraging all the attempts to divide the society into different sections. Islamic society is based upon the following fundamental principles i. E equality, harmony of thoughts, justice, amar-bilmaaruf-wa-nahi-anilmunkar (ask for good and forbid from evil), unity, sense of responsibility, virtue and evil, abolition of sectarianism & fulfillment of promises, reflecting the universality of the religion, Islam. Pakistan today, is facing various social problems like terrorism, corruption, poverty, unemployment, broken families, sectarianism, onslaught of western culture and demand of unrestricted liberty by womenfolk. The moral degradation of the society is due to the fact that the true Islamic spirit and moral teachings and trainings of Islam have not been applied with true mind and honest intentions. The moral values are ignored by the media which is the cause of great concern.

Behavior of Stock Return, Calender Effects and Adaptive Market Hypothesis Ahm : Evidence from Pakistan by Using Historic Data With Special Focus on Gregorian and Islamic Calender

Beyond the traditional verdict of efficiency/inefficiency of market, the current thesis aims to provide additional insights to portray the clear picture of behavior of stock market. Although the previous studies have broadly examined the classical EMH, but there exists no consensus among academicians and researchers whether markets are efficient or not. Earlier studies favor EMH and claim that it holds. However, the recent studies cast a serious doubt by showing a strong evidence against the validity of the EMH. In addition, numerous research studies used a predetermined sample-period to investigate the EMH while ignored the fact that the levels of market efficiency may change/evolve over time. Thus, testing efficiency in previous studies is confined to investigate whether the returns generating process of an asset is stochastic (market efficiency) or deterministic (market inefficiency). In this regard Lo (2004) tries to reconcile both the varying degree of market efficiency and EMH through Adaptive Market Hypothesis (AMH). This theory facilitates the efficiency of capital markets to evolve over time and allows market inefficiencies to co-exist along with market efficiency (EMH). The thesis aims to examine the behavior of stock returns and calendar effects through AMH to identify whether AMH delivers a better depiction of behavior stock return and calendar anomalies than traditional EMH. For the purpose 107 listed companies from Pakistan Stock Exchange (PSX) are selected over the period from 1996 to 2015 to contribute to limited literature available on emerging markets. Similar to the studies of (Urquhart, 2013; Urquhart & Hudson, 2013), five different types of behavior are studied. The data set is divided into 4 equal 5-yearly-subsamples to detect the evolution of market efficiency (through linear & non-linear tests) and calendar effects (through GARCH model & Kruskal-Wallis test). The simultaneous utilization of linear and non-linear methods would probably improve the prediction of market participants. The results of linear & nonlinear tests reveal that firms exhibit significant predictability of returns during certain sub-samples while insignificant in others indicating that returns go under periods of market efficiency and inefficiency thus, consistent with AMH. Similarly, the results of GARCH (1,1) and Kruskal-Wallis test show that behavior of calendar effects fluctuates and goes under periods of predictability and no predictability . Overall, results of study suggest that AMH well elucidates the behavior of stock return and calendar effects than conventional EMH. The findings of the study may helpful to investors to assess the time varying volatility to manage their portfolios, investment decisions and trading strategies at (PSX).