Analysis of the cryptocurrency market using different prototype-based clustering techniques

Since the emergence of Bitcoin, cryptocurrencies have grown significantly, not only in terms of capitalization but also in number. Consequently, the cryptocurrency market can be a conducive arena for investors, as it offers many opportunities. However, it is difficult to understand. This study aims to describe, summarize, and segment the main trends of the entire cryptocurrency market in 2018, using data analysis tools. Accordingly, we propose a new clustering-based methodology that provides complementary views of the financial behavior of cryptocurrencies, and one that looks for associations between the clustering results, and other factors that are not involved in clustering. Particularly, the methodology involves applying three different partitional clustering algorithms, where each of them use a different representation for cryptocurrencies, namely, yearly mean, and standard deviation of the returns, distribution of returns that have not been applied to financial markets previously, and the time series of returns. Because each representation provides a different outlook of the market, we also examine the integration of the three clustering results, to obtain a fine-grained analysis of the main trends of the market. In conclusion, we analyze the association of the clustering results with other descriptive features of cryptocurrencies, including the age, technological attributes, and financial ratios derived from them. This will help to enhance the profiling of the clusters with additional descriptive insights, and to find associations with other variables. Consequently, this study describes the whole market based on graphical information, and a scalable methodology that can be reproduced by investors who want to understand the main trends in the market quickly, and those that look for cryptocurrencies with different financial performance.In our analysis of the 2018 and 2019 for extended period, we found that the market can be typically segmented in few clusters (five or less), and even considering the intersections, the 6 more populations account for 75% of the market. Regarding the associations between the clusters and descriptive features, we find associations between some clusters with volume, market capitalization, and some financial ratios, which could be explored in future research.

Mapping the Literature on Financial Behavior: a Bibliometric Analysis Using the VOSviewer Program

Objective of the article is to study the current state of researches of financial behaviour. The article is conceptual and based on the use of the methodology of the bibliometric analysis. The analysis is based on the data retrieval functionalities of Scopus and Web of Science platforms. Is used the toolkit of the VOSviewer program, network visualization of keywords in scientific publications. Findings: The number of publications that directly study the nature and features of the financial behavior formation of various economic agents is insignificant, but is constantly growing. An important role in this process is played by digitalization processes of financial services, which have an important impact on the models transformation of both financial behavior of economic agents, and changes in the model of the financial services provision to customers by financial institutions.

The effect of financial knowledge on firm performance

This research aims to know the effect of financial knowledge on firm performance; the role of financial behavior and access to finance as mediation and the role of financial risk attitude as moderation. The object of this research is the owner of small-medium enterprises, sector food and beverage in Malang. Data collection was carried out using a questionnaire of 150 respondents. Data analysis of this research uses partial least square (PLS). The finding indicates that financial knowledge has a positive and significant effect on firm performance; financial behavior mediates the relationship of financial knowledge dan firm performance; while access to finance doesn’t mediate the relationship of financial knowledge with firm performance. This research also found that financial risk attitude weakens the relationship of financial knowledge with financial behavior.

The effect of essential information and disposition effect on shifting decision investment

The current pandemic era has given uncertainty to the country's economic growth and resulted in many countries experiencing a drastic decline in share prices. This condition impacts investors' perceptions of the funds that have invested in the stock market. This study investigates the effect of essential information and disposition effect on shifting decision investment with the character investor's moderation as the moderator variable. A survey was conducted on 252 investors who have invested in the Indonesian stock exchange. The Data processing used the partial least square (PLS) technique. This study indicates that essential information for investors in the pandemic era can increase the disposition effect in deciding beneficial share ownership. The essential information obtained by investors in the covid era regarding stock market movements and its internal performance in the stock market list can increase investor shifting decisions. The disposition effect can have a significant effect on shifting decision investors. Essential information related to stock price movements and its internal performance affects investors' courage to take risks and provide optimism for shifting decisions. Then the investor type does not affect the disposition effect on shifting decisions. This study contributes to the theory of financial behavior in decision making by considering psychological factors when uncertainty exists in the stock market.

Pengaruh Income, Debt, Gender Differences, Financial Literacy, dan Financial Attitude terhadap Financial Satisfaction

This study examines the financial satisfaction among the employees in the District of Sidoarjo, as well as to analyze the relationship between income, debt, gender differences, financial literacy, and financial attitude. The object of this research is the employees in the District of Sidoarjo and techniques of data collection using the technique of purposive sampling and snowball sampling. Total respondents obtained is 298 by distributing questionnaires online. This research is conclusive causality and using the analysis technique of Structural Equation Modeling (SEM) in AMOS software version 24. The results of this study showed that the debt and financial attitude have a significant effect on financial satisfaction, while the variable income, gender differences and financial literacy does not affect the financial satisfaction. This study can be a useful reference for a variety of parties, especially labour/employees/employee where you should always act and behave better in financial terms, because the attitude towards finance plays an important role to determine the success or failure of the financial behavior of individuals. The high attitude of the individual financial can determine the high awareness in responsible for the expenditure of finances, so it will cause a positive impact on the behavior of financial management to achieve the satisfaction of personal finance.

LITERASI KEUANGAN, GAYA HIDUP, LOCUS OF CONTROL, DAN PARENTAL INCOME TERHADAP PERILAKU KEUANGAN MAHASISWA

Financial attitude is an important matter for all young people, especially a student, in order to avoid all strange financial problems. Especially in this pandemic period it must be good at managing its finances appropriately so as not to experience waste. This study aims to explain financial literacy, lifestyle, locus of control, and parental income on student financial behavior in Central Java. The population in this study are students of Central Java province which numbered 400 respondents with the formula slovin. Purposive sampling technique by determining sample criteria. This research uses quantitative data obtained from questionnaire google form. Data were analyzed through multiple regression analysis with IBM SPSS Statistics 25. The results explain that financial literacy, lifestyle, locus of control, and parental income have a significant influence in student financial behavior in Central Java province. Keywords: Lifestyle, Financial Behavior, Financial Literacy, Locus of Control, Parental Income.