This paper examines the time-varying conditional correlations between FIRST BITCOIN CAP and ICE BofA Sterling Zero Coupon markets. We apply ten bivariate DECO-GARCH models in order to capture potential contagion effects between the markets for the period 2007-2020. Empirical results reveal contagion during the under investigation period regarding the ten bivariate models, showing potential volatility transmission channels among the markets. Findings have crucial implications for policymakers who provide regulations for the above derivative markets and for investors, who invest long-term into FIRST BITCOIN CAP.

Indian planners since independence have tried to put financial inclusion at the centre of their policy. But despite nationalization of banks, establishment of cooperative societies, and many other such policies have not been able to substantially improve the livelihood of the poor. In view of pathetic financial coverage over a period of time, PMJDY was launched in 2014 as a comprehensive plan based on six pillars viz. Universal Access to Banking Facilities, Providing Basic Banking Accounts, Financial Literacy, Credit Guarantee Fund, Micro Insurance and Pension Scheme. The present study is an attempt to look into the financial literacy, financial penetration, and poverty status of PMJDY account holders in Aligarh district. The study also investigates gender wise and caste wise differential among PMJDY account holders. The study is based on primary data for which a sample of 100 households was taken on a random basis. The sample was collected from three villages of Lodha and Atrauli blocks of Aligarh district. The results show a significant gender and caste wise differential with regard to transaction by self, awareness about DBT, savings, and receiving & activating Rupay debit card. Further, there exists caste wise but not gender wise differential because of motivation/reason behind opening an account in PMJDY and agreement on fulfillment of government’s objectives. More than 80 percent of the respondents strongly agree/agree with the notion that they opened PMJDY account in anticipation that Rs.15 lakhs will be transferred into their account as promised by the present government. This simply shows the degree of political innocence of poor rural masses. Gender wise analysis clarifies that there exist a significant difference between male and female households in terms of multi dimensionally poor population but not on account of average intensity of deprivation. Dimension wise significant differential is present on education and living standard dimension but not on health dimension. Taking general category as base category, the MPI is 70 percent higher for OBCs and 230 percent larger for SCs. This shows caste wise large disparity on poverty front among PMJDY beneficiaries.

In this paper, we examine potential time-varying correlations between crude oil future and USA bond markets. We employ a dynamic conditional correlation (DCC) multivariate GARCH model in order to quantify potential contagion effects between the markets for the period 2005-2020. We divide the period in two sub-period to make the empirical analysis easier. Empirical results reveal increased conditional correlation in the first sub-period (2005-2012) and no contagion in the second sub-period (2012-2020). Results are of interest to investors, who invest long-term into the under investigation financial markets, as well as, to policymakers, who provide regulations for the under investigation derivate market.

The purpose of this study is to assess portfolios that have been formed using a calculation model that calculates total risk and also to find out portfolios formed from companies listed on the LQ 45 Index on the IDX for the period February-July 2020. This research is a census research in which the population is all company shares that are consistently included in the LQ-45 index for the period February-July 2020. The data used is derived from secondary data, in the form of daily closing stock prices and daily closing composite stock price index obtained from data Indonesia Exchange Monthly Statistics and data on interest rates for Bank Indonesia Certificates for the period 30 April - 30 June 2020. The results showed that there were 9 stocks formed from 45 LQ45 stocks. The proportion of shares formed from LQ45 shares is TOWR of 0.263, SCMA of 0.175, BTPS of 0.174, SMGR of 0.123, JSMR of 0.148, EXCL of 0.048, CPIN of 0.047, INCO of 0.007 and ASII of 0.014. The portfolio performance formed from LQ-45 is better than the Stock Price Index G, this is indicated by the LQ-45 portfolio sharpe index figure of 0.3902 and the JCI has a sharpe index of 0.0804.

Rapid technological advancements in the last few decades have given rise to various new products and fields, such as cryptocurrencies, social media and sentiment analysis. The massive surge in internet usage has caused organizations and investors to increasingly base their decisions on content placed on social media platforms which are flooded with data from its users. One of those platforms is twitter, a micro-blogging platform which allows people to share their opinions in a limited number of characters. Certain users on these platforms have the ability to influence other users’ decision making, including investing. Although stock market prediction through sentiment analysis has been researched often, the amount of research done on prediction Bitcoin prices is relatively low. Furthermore, there is a gap in existing research in which samples are not limited to users that have more knowledge than individual investors. This paper uses sentiment analysis on tweets made be cryptocurrency influencers to see whether they can be used to predict Bitcoin price fluctuations. This paper, additionally researches differences in predictive capabilities between regions and differences in predictive capabilities between a bear and a bull market. The results in indicate that tweets made by cryptocurrency influencers contain statistically significant information about the future value of bitcoin. Thus, analyzing those tweets to exploit profitable opportunities can be worthwhile.

A decomposable measure of inequality simply refers as a measure such that the variability of total inequality can be divided into two parts: ‘within inequality’ and ‘between inequalities’. By considering plural view of inequality measures (both absolute and relative) for two widely talked-about families of inequality measurement (Gini family and SD-CV family) in the literature, we propose that, variance (as an absolute measure in SD-CV family) is the most suitable measure for perfect decomposition of inequality. On the other hand, squared coefficient of variation (as a relative measure in SD-CV family) is far better measure for such purpose than Gini index (as a relative measure in Gini family) though they cannot be perfectly decomposed. An empirical study of a backward district of West Bengal is considered in order to analyse the effects of ‘within’ and ‘between’ components on inequality decomposition. Since one of the key points of inequality analysis is represented by the overlapping units, the effect of overlapping component on inequality decomposition is also considered.

Financial crisis is a phenomenon, which many researchers, writers, and organizations concern with it, therefore, this paper discusses the factors that cause a financial and economic crisis in Sudan. The purpose of this study is to investigate and understand the real factors that cause the economic and financial crisis in Sudan. This paper depends on the literature review and uses a descriptive approach to portray the main real causes of the economic and financial crisis in Sudan. To collect data and information, the investigator uses secondary data sources such as books, references, journals, the internet, newspapers, articles, reports, and other documents that are related to the topic. The findings of this paper represent four points namely; firstly, the initial reason number one that contributed to Sudan's financial crisis is the separation of South Sudan, secondly, the American economic sanctions against Sudan, thirdly the civil war and conflict in the west and new South Sudan. (South Kordofan), in addition to the corruption in its different shapes.

This study analyzes the effect of gender diversification in top management and intellectual capital on financial performance proxied by ROA and its impact on firm value in the financial sector listed on the Indonesia Stock Exchange in 2017-2018. This study uses secondary data from the company's annual reports which are taken from the official website of the Indonesia Stock Exchange and the company's official website. The number of companies studied was 87 out of 99 companies with purposive sampling and observations made were for 2017 to 2018 so that the total number of observations was 174 samples. Data were analyzed using path analysis with the SPSS application.

This study was carried out to ascertain if economic governance and management brings about the attainment of sustainable business productivity in Nigeria. In this study, economic governance and management was utilized as the explained variable, while the various indicator variables of economic governance and management such as: Macro-economic Policies, Transparent, predictable and credible state economic policies, Sound Public Finance Management, Corruption and Money Laundering and Integration Policies were used as the explanatory variables. The research design used in this study was the cross-sectional survey design, associated with the deductive approach used for descriptive research purpose, which was used to model the impact of economic governance and management on sustainable business productivity in Nigeria. The findings elicited from this study revealed that economic governance and management was significant and played a key role in allowing businesses in Nigeria attain sustainable productivity within the scope of this study.

This article is aimed at evaluating and comparison various scenarios of corporate income tax, individual income tax (personal income tax) and value added tax in listed below seven post-Soviet Union republics: Russian Federation, Republic of Belarus, Republic of Ukraine, Republic of Uzbekistan, Kazakhstan, Kyrgyzstan and Moldova. For many decades, economists from the European Union and the United States have regularly discussed such problems as building optimal tax systems, greening taxation, the effectiveness of tax reforms and others. Economists of the post-Soviet space in the 90s of the last century did not have such opportunity. At the same time, there was a very high need for scientific substantiation of the tax reforms being carried out in these countries. To fill this scientific gap, two economists Igor Mayburov from Russia and Yury Ivanov from Ukraine convened the first tax symposium in the post-Soviet space in 2009. Since then, the tax symposium has been annually held in different cities and brought together leading tax specialists from different countries. Each symposium has its own thematic focus, dedicated to the most relevant aspect of taxation for the post-Soviet countries. This scientific focus is declared one and a half years before the symposium. Symposium participants conduct research and thematic monographs are prepared for each symposium. XI International Symposium "Theory and Practice of Tax Reforms", held June 30 - July 6 2019 in Tomsk on the basis of the Institute of Economics and Management of the National Research Tomsk State University. These kind of symposiums have a major aim to understand, explain and find some new solutions to make the taxation system of post-Soviet Union republics more and more developed.

It is no longer a debate that international remittance has a positive influence on economic growth as it goes into individuals to meet family needs, but what has not been settled empirically (at least in the case of Nigeria) is the end-use allocation of this resources. This study assesses the expenditure pattern of international remittances on productive assets purchase using a micro cross-sectional data obtained from 2009 World Bank’s Migration and Remittances Survey in Nigeria. The model estimated was based on a new approach, using the bivariate probit regression equation which saw remittances and productive assets as endogenous variables determined by some observed variables. The main result is the insignificant positive effect of migrant remittances on propensity to acquire productive assets among Nigeria’s households.