A STUDY ON INVESTORS PERCEPTION TOWARDS LARGE-CAP EQUITY ORIENTED MUTUAL FUNDS IN INDIA

The large-cap equity fund is one of the mutual fund schemes and fund mobilized under this scheme is invested in equity securities of large-capitalized companies. This scheme is highly preferred scheme for investment by those who want to receive reasonably high return with less risk. The present study analyzes the profile, perception and satisfaction level of retail investors in large-cap equity funds. This study is based on both primary and secondary data. The study concludes that the majority of the investors are mid-aged people and men investors are more than women. Most of the investors have graduation and belong to the small saving group. The investors have moderately satisfied with large-cap fund investment on an average basis.

Contribution of fishery and aquaculture products to Turkish foreign trade: An evaluation by a hybrid multi-criteria decision-making method

Fisheries and aquaculture industry, which provides a continuous and high-return market advantage to potential countries, is also one of the priority industries for Turkey. Although Turkey has important advantages with its geographic position and bio-diversity, the industry's contribution to foreign trade is not at an acceptable level. Accordingly, it is important to evaluate the capture fishery and aquaculture products, which provide the best contribution to the foreign trade of Turkey. Thus, the present paper aims to provide foreign trade executives with an intuition about the most appropriate products to invest in and contributing products to Turkish foreign trade within the scope of market strategies. Entropy-WASPAS, which is a hybrid multi-criteria decision-making method, is used for evaluating the contribution of fishery and aquaculture products to Turkish foreign trade. This model includes both criteria (production, import quantity, import value, export quantity, export value) and alternatives (trout, sea bream, sea bass, sprat, atlantic bonito, anchovy, horse mackerel, pilchard, sea snail, prawn, cuttle fish, mussel). Entropy is used to determine the criteria weights, and WASPAS is applied for ranking the fishery and aquaculture products. According to the results, export value is the most important criteria while Sea Bream is found as the most significant product for Turkey’s foreign trade.

The New Fiscal Normal: Vaccinations, Debt, and Fiscal Adjustment in Emerging Economies

What is the potential impact of vaccination programs and different fiscal adjustment scenarios on countries after suffering the macro-fiscal effects of the pandemic? We calibrate a DSGE model with an epidemiological module for the average Latin American and Caribbean economy that uses fiscal policy and vaccination to contain these effects. We nd that there is a trade-off in the application of one of these policies. Focusing on vaccination has a high return in saving lives and improving economic growth but a lower fiscal adjustment. We conclude that simultaneous vaccination and fiscal reform is a successful policy combination that helps countries mitigate the health effects of the pandemic, reduce the economic cost of fiscal policy, and move toward a path of fiscal consolidation.

Deep learning rainfall-runoff predictions of extreme events

The most accurate rainfall-runoff predictions are currently based on deep learning. There is a concern among hydrologists that data-driven models based on deep learning may not be reliable in extrapolation or for predicting extreme events. This study tests that hypothesis using Long Short-Term Memory networks (LSTMs) and an LSTM variant that is architecturally constrained to conserve mass. The LSTM (and the mass-conserving LSTM variant) remained relatively accurate in predicting extreme (high return-period) events compared to both a conceptual model (the Sacramento Model) and a process-based model (US National Water Model), even when extreme events were not included in the training period. Adding mass balance constraints to the data-driven model (LSTM) reduced model skill during extreme events.

PENCAIRAN DANA BOS KINERJA DAN AFIRMASI PADA KANTOR PELAYANAN PERBENDAHARAAN NEGARA MEDAN

Education is two of the four national aims specifically in order to advance general prosperity and to develop the nation’s intellectual life. In the present time, the accessibility of education in remote areas, the building of characters, as well as the advances of technology has become challenges of education system due to lack of capabilities of skilled resources. In coping with those matters, the government allocates the Affirmation and Performance School Operational Assistance Funds in conjunction with the school's digitalization program to deal with 4.0 industrial revolution. This research is aimed at finding out the process of distribution of the Affirmation and Performance School Operational Assistance Funds in State Treasury Services Office I of Medan and the management implementation of the Performance School Operational Assistance Funds in St. Ignasius Medan High School. This research uses qualitative methods by using the ATLAS.ti application tools to create network knowledge. The research findings show that the distribution and management of the Affirmation and Performance School Operational Assistance Funds has been progressing well despite having some issues. Some of the issues are the invalid school account data and the changing of School Operational Assistance Funds regulations. Those issues resulted in the high return of accounts and the difficulty in formulating financial reporting of the Performance School Operational Assistance Funds.

COMPARATIVE ANALYSIS OF RETURN AND VOLATILITY OF THE KAZAKH AND UKRAINIAN STOCK MARKET SUBJECT TO THE INVESTMENT TIME HORIZON

The development of the state's economy is inconceivable without the revitalization of investment processes in the field of financial investment, which are based on operations in the stock market. Simultaneously, the financial investment is characterized by speculative risk, which involves the possibility of obtaining both income and losses from the tradable securities. Such risk creates volatility of financial markets, an indicator of which is the dynamics of changes in stock indices that reflect the value of share capital of the largest enterprises and financial institutions of the state. The analysis of the results of recent scientific work carried out in the paper has shown a significant interest among the world's leading financial scientists to the issue of assessing the volatility of stock markets, which becomes of particular relevance subject to the investment time horizon. The study revealed a strong linear direct correlation between the indices of the Kazakhstan Stock Exchange (KASE) and the Ukraine Stock Exchange (PFTS). The analysis of the impact of the investment time horizon on the indicators of return and volatility was carried out for the Kazakh and Ukrainian stock markets. As a result, it was determined that the stock markets of both countries are characterized by a significant level of volatility, which is offset by high return and tends to decrease with increasing investment horizon. Analysis of the return and risk ratio using the Sharpe Ratio demonstrated an increase in investment attractiveness with increasing investment horizon.