Digital finance plays a major role in achieving financial inclusion targets which have a positive impact on economic growth and people's welfare. One of the main elements of digital finance is digital payments, which are increasingly playing a role with the presence of e-commerce and financial technology (fintech). Apart from these positive impacts, digital finance is also feared to have a negative impact on financial system stability, especially in relation to systematic risk. The purpose of this study was to determine the role of risk factors in digital financial relations and financial stability. The research method used is the Multiple Linear Regression Model and Moderating Regression Analysis (MRA), using 120 samples of panel data for 10 years (2010 to 2019). The results show that market risk can moderate the influence of digital finance on financial stability, so that increased systematic risk will reduce the positive impact of digital finance on financial stability.
This research aims to examine the impact of fundamental and technical factors towards stock returns, and with macroecomoic as moderation variable. The population used in this research is all public companies or issuer listed in Indonesia Stock Exchange from 2008 to 2012. The companies used samples are 23 companies which categorized as LQ-45 that exist from 2008 to 2012 or using Purposive Sampling Method. Analysis of securitas consist of fundamental and technical analysis. In fundamental analysis and technical, analist often uses factors fundamental and technical. Fundamental’s and technical’s factors in Multi-factor Models uses to perform the portfolio with special characteristics. Multi-factor Models are improved from the concept of Arbitrage Pricing Theory (APT). Fundamental factors are consisted Financial Ratio (ROA, DER, EPS, PBV) and macroeconomic (exchange rate, inflations, gdp); than technical factors (trading volume, market capitalization, and previous stock price). Those are independen variables which towards stock return using Panel’s Data then make analysis using Multiple Regressions. This research shows that partially, several fundamental factors (ROA, DER, and EPS) have not significant influence and positif are toward stock return. However, PBV have significant influence and negatif are toward stock return. Several macro economic’s factors (kurs and GDP) have significant influence and positif are toward stock return, but inflation have significant influence at α = 10%. All of technical’s factors (trading volume, market capitalization, and previous stock price) have not significant influence and positif (market capitalization, and previous stock price), negatif (trading volume) are toward stock return.Simultaneously, fundamental’s factors, macro economic, and technical’s factors have significant influence and positif are toward stock return. Managerial implication of this research are the investors can use fundamentals analysis with focus on PBV ratio, emiten must be more attention macro economic factors, especially exchange rate and GDP. Investors in Indonesia Stock Market more like fundamental’s analysis than technical’s analysis, but investor also can use integrated analysis by combine of fundamental and technical’s analysis.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.