10 research outputs found

    Financial Cointegration of Emerging Economies: Evidence from Bivariate Cointegration and Granger Causality

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    The study at hand examined financial cointegration of  emerging economies and explored the diversification opportunities which are available for investors of developed countries. For the long run and causal relationship, Johanson cointegration and Granger Causality test are employed respectively. Analysis revealed evidence of cointegration between the markets of UK and Egypt. Granger Causality test indicated causality and most emerging stock markets were detected to be the followers of established capital markets. Findings implied that investors should consider the cointegration relationship before making investment decisions as it can minimize potential paybacks of prospective international portfolio diversification. Further, policy makers are recommended to consider keep an eye on the stock markets which are strongly cointegrated also having high bilateral trade volume while framing fiscal and monetary policies.&nbsp

    Open data from the third observing run of LIGO, Virgo, KAGRA and GEO

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    The global network of gravitational-wave observatories now includes five detectors, namely LIGO Hanford, LIGO Livingston, Virgo, KAGRA, and GEO 600. These detectors collected data during their third observing run, O3, composed of three phases: O3a starting in April of 2019 and lasting six months, O3b starting in November of 2019 and lasting five months, and O3GK starting in April of 2020 and lasting 2 weeks. In this paper we describe these data and various other science products that can be freely accessed through the Gravitational Wave Open Science Center at https://gwosc.org. The main dataset, consisting of the gravitational-wave strain time series that contains the astrophysical signals, is released together with supporting data useful for their analysis and documentation, tutorials, as well as analysis software packages.Comment: 27 pages, 3 figure

    Open data from the third observing run of LIGO, Virgo, KAGRA, and GEO

    Get PDF
    The global network of gravitational-wave observatories now includes five detectors, namely LIGO Hanford, LIGO Livingston, Virgo, KAGRA, and GEO 600. These detectors collected data during their third observing run, O3, composed of three phases: O3a starting in 2019 April and lasting six months, O3b starting in 2019 November and lasting five months, and O3GK starting in 2020 April and lasting two weeks. In this paper we describe these data and various other science products that can be freely accessed through the Gravitational Wave Open Science Center at https://gwosc.org. The main data set, consisting of the gravitational-wave strain time series that contains the astrophysical signals, is released together with supporting data useful for their analysis and documentation, tutorials, as well as analysis software packages

    India-Pakistan Political Relationships; a Water War between Neighbor Countries

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    Water is considered a valuable resource of our planet. For most of the regions in this world, water has been in profuse supply all together and regarded as an accessible resource for mainstream humanity. Unfortunately, this situation prevails no more. Almost all the countries, are facing issue of water shortage. The South Asian economies are at most alarming stage. According to UNDP Pakistan will face water scarcity issue by 2025.There are various factor which are responsible for this water shortage such as, lack of dams, unnecessary use of water, poor water management and most important Indian breach of 1960 agreement between India and Pakistan drafted by World Bank. There are various issues between India and Pakistan from the very beginning of 1947, both countries spend huge amount on defense equipment. If the matter of water does not resolve among the neighbor centuries, both economies will have to suffer a lo

    Indo-Pak Relationship on Line of Control after Pakistan Inclusion in Afghan Soviet War 1979

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    Afghan’s invasion of the Soviet Union in 1979 created panic worldwide and proved a decisive moment in the international political scenario. Soviet expansionism policy when challenged the security of Pakistan, it appeared as a front - line country and the main route to provide aid for Afghan Mujahedin. This paper has analytically reviews the Pakistan’s decision to join 1979 Afghan war and evaluated how it benefited economic and defense conditions of Pakistan. Simultaneously, the article presents how this Afghan war posed grave threats to security (internal as well as external) of the country due to refugees flood that resulted not only in problematic scenario with respect to the economy, politics, and society but also produced ecological difficulties. Moreover, Afghan refugees caused deforestation for their food, eroded soil, propped up Kalashnikov culture, illegal drug trade, and other infinite law and order troubles. However, Pakistan had no better option except to take part in the Afghan wa

    Impact of Unemployment and Governance on Poverty in Pakistan: a Fresh Insight from Non-linear ARDL Co-integration Approach

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    2020 International Management Institute, New Delhi. This article aims to give a fresh insight into the non-linear relationship between unemployment, governance, and poverty in Pakistan. For the purpose, the study utilizes data from 1984 to 2016 by employing a nonlinear ARDL co-integration approach. The findings provide an insight that poverty responds asymmetrically due to positive or negative shocks in unemployment and governance. Moreover, the results suggest that applying linear models on poverty modelling may mislead the inference. The findings of the study imply that the policymakers and academicians must consider nonlinear behaviour of poverty for better policymaking

    Impact of Unemployment and Governance on Poverty in Pakistan: A Fresh Insight from Non-linear ARDL Co-integration Approach

    No full text
    This article aims to give a fresh insight into the non-linear relationship between unemployment, governance, and poverty in Pakistan. For the purpose, the study utilizes data from 1984 to 2016 by employing a nonlinear ARDL co-integration approach. The findings provide an insight that poverty responds asymmetrically due to positive or negative shocks in unemployment and governance. Moreover, the results suggest that applying linear models on poverty modelling may mislead the inference. The findings of the study imply that the policymakers and academicians must consider nonlinear behaviour of poverty for better policymaking

    Open data from the third observing run of LIGO, Virgo, KAGRA and GEO

    Get PDF
    The global network of gravitational-wave observatories now includes five detectors, namely LIGO Hanford, LIGO Livingston, Virgo, KAGRA, and GEO. These detectors collected data during their third observing run, O3, composed of three phases: O3a starting in April of 2019 and lasting six months, O3b starting in October of 2019 and lasting six months, and O3GK starting in April 2020 and lasting 2 weeks. In this paper we describe the data recorded by these instruments during O3 and various other science products that can be freely accessed through the Gravitational Wave Open Science Center at https://gwosc.org The main dataset consists in the gravitational-wave strain time-series that embed the astrophysical signals, and other supporting data useful for their analysis together with documentation, tutorials, and analysis software packages

    Open data from the third observing run of LIGO, Virgo, KAGRA, and GEO

    No full text
    Abstract: The global network of gravitational-wave observatories now includes five detectors, namely LIGO Hanford, LIGO Livingston, Virgo, KAGRA, and GEO 600. These detectors collected data during their third observing run, O3, composed of three phases: O3a starting in 2019 April and lasting six months, O3b starting in 2019 November and lasting five months, and O3GK starting in 2020 April and lasting two weeks. In this paper we describe these data and various other science products that can be freely accessed through the Gravitational Wave Open Science Center at https://gwosc.org. The main data set, consisting of the gravitational-wave strain time series that contains the astrophysical signals, is released together with supporting data useful for their analysis and documentation, tutorials, as well as analysis software packages
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