The effect of loan granted factor on peer-to-peer lending (funded loan) in Indonesia

The main aim of the given research is to develop an appropriate approach for creation of information FinTech platform with the EU standards compliance mainly for SMEs in order to support innovativeness of SMEs, improve their access to finance and simplify different financial processes. The authors defined the main features of FinTech platforms underlining types of FinTech, its participants and the most influential factors. The main trends of FinTech platforms development in the EU countries, such as the level of investment, impact of EU FinTech platforms on the global scale, features of investments into B2B FinTech, were determined. It was considered that in Ukraine, some positive changes in legislation were adopted, but the challenges like lack of finance, slow adoption of innovations in the financial market, not sufficient clarity of legislation remain among the main constraints for further development of FinTech platforms in Ukraine. The conducted analysis on the level of FinTech types performance by Ukrainian platforms showed only the great share of digital payments and money transfers, while other modern innovative FinTech instruments should not be underestimated for proper FinTech application in Ukraine. For this purpose, the authors have developed the Information Platform on Support for SMEs’ Innovations that consolidates interests of both SMEs and scientists. To determine both the SMEs’ opinion about the necessity of a particular Internet platform for them and the types of services that could be provided by the sme-sci.com platform, the authors conducted a survey in which 374 medium-sized and 380 small businesses took part. The results of the survey that are presented in the article confirm the necessity of the Information Platform on Support for SMEs’ Innovations and demand for it from the SMEs. Finally, the result of the research proves that such a unique informational platform as sme-sci. com that will serve as an interactive field for exchanging ideas and information of both representatives of scientific and business world is of great importance.

The biggest challenge facing countries, including India, is creating and managing an LCR (low carbon resilient) economy, which balances the need for high growth rates and is environmentally sustainable. The green bond market provides investors the means to help change the economy into an LCR economy. The study was undertaken to understand the key drivers and the factors influencing the individual retail investor’s decision to invest in green bonds. A survey instrument was designed and administered through the snowball sampling technique to 125 Indian respondents of various age groups who were eligible to invest in the Indian bond market. SPSS software was used to conduct a descriptive analysis followed by regression and conjoint analyses. The study results suggest that the Environmental, Social, and Governance (ESG) rating and credit rating of the green bond issuers are the key factors that influence an individual’s investment decision. The findings also highlight that incentives such as tax exemptions and awareness of green bonds also affect an investor’s decision. This research stands out as one of the first attempts to understand the Indian retail investors’ perception of a green bond.

Estimation of systematic risk is one of the important aspects of the best investment decisions. Through systematic risk prediction will be known risks to be faced by investors, because systematic risk is a measure of investment risk. In addition to returns, investors always consider the risk of investment, because investors are rational individuals, ie individuals who always consider the trade-off between return and risk. At a certain level of return, investors will tend to choose investments with the lowest risk level. Conversely, at a certain level of risk, investors tend to choose investments with the highest return rate. The purpose of this paper is to analyze the influence of the financial information on the systematic risk of stock manufacturing companies listed on the Indonesia Stock Exchange over a period of five years from January 2011 to December 2015. The financial information is measured in four accounting variables, i.e. financial leverage, liquidity, profitability, and firm size. The results of data analysis using multiple linear regression method to prove that at the 0.05 level only variable sized companies that significantly influence systematic risk. Meanwhile, the variable financial leverage, liquidity, and profitability does not affect the systematic risk. The results showed inconsistencies with the results of several previous studies. This inconsistency may be due to measurement problems variable accounting, the implementation period of the study, and the use of different research samples.