scholarly journals Value-Based Financial Risk Prediction Model

Risks ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 205
Author(s):  
Jiří Pospíšil ◽  
Nataša Matulayová ◽  
Pavla Macháčková ◽  
Pavlína Jurníčková ◽  
Ivana Olecká ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Risk Prediction ◽  
Financial Risk ◽  
Helping Professions ◽  
Factor Analyses ◽  
Theoretical Assumption ◽  
The Czech Republic ◽  
Life Conditions ◽  
Economic Indexes ◽  
Financial Behaviour

The model of financial risk prediction we developed and present in our paper is based on the theoretical assumption that there exists a significant relationship between actual economic situation and values. This assumption confirmed by the research influences the potential risk in financial behaviour and it becomes actual especially in the case of changing life conditions. The concept of the model is based on data received from 3768 respondents questioned across the Czech Republic. Measured variables were indexed, and the cluster and factor analyses were used for multivariate analysis. The model is unique in the combination of personal values projected into six generalized value types and developed economic indexes clustered in four types of economic situations. The primary purpose of the model is to identify the anticipated personal financial risk of clients. The model has fundamental applications as a diagnostic or auto-diagnostic tool in social work, counselling, psychotherapy, and other helping professions, or as a research instrument leading to various hypotheses and to the enhancement of theories concerning economic behaviour.

scholarly journals Hydrological Layered Dialysis Research on Supply Chain Financial Risk Prediction under Big Data Scenario

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Jia Liu ◽  
Shiyong Li ◽  
Xiaoxia Zhu
Keyword(s):  
Risk Management ◽  
Big Data ◽  
Supply Chain ◽  
Risk Analysis ◽  
Risk Prediction ◽  
Financial Institutions ◽  
Surface Runoff ◽  
Financial Risk ◽  
Supply Chain Finance ◽  
Runoff Model

In recent years, internet development provides new channels and opportunities for small- and middle-sized enterprises’ (SMEs) financing. Supply chain finance is a hot topic in theoretical and practical circles. Financial institutions transform materialized capital flows into online data under big data scenario, which provides networked, precise, and computerized financial services for SMEs in the supply chain. By drawing on the risk management theory in economics and the distributed hydrological model in hydrology, this paper presents a supply chain financial risk prediction method under big data. First, we build a “hydrological database” used for the risk analysis of supply chain financing under big data. Second, we construct the risk identification models of “water circle model,” “surface runoff model,” and “underground runoff model” and carry on the risk prediction from the overall level (water circle). Finally, we launch the supply chain financial risk analysis from breadth level (surface runoff) and depth level (underground runoff); moreover, we integrate the analysis results and make financial decisions. The results can enrich the research on risk management of supply chain finance and provide feasible and effective risk prediction methods and suggestions for financial institutions.

scholarly journals Inclusive Growth in CEE Countries as a Determinant of Sustainable Development

2018 ◽  
Vol 10 (11) ◽  
pp. 3973 ◽  
Author(s):  
Ewa Cichowicz ◽  
Ewa Rollnik-Sadowska
Keyword(s):  
Sustainable Development ◽  
Multivariate Analysis ◽  
Czech Republic ◽  
Transition Economies ◽  
Eastern European ◽  
Inclusive Growth ◽  
Development Research ◽  
The Czech Republic ◽  
Components Analysis ◽  
Eastern European Countries

Pursuant to the concept of inclusive growth, the authors analyze the transition economies of Central and Eastern European countries, which have become EU members (Bulgaria, Croatia, the Czech Republic, Estonia, Latvia, Lithuania, Hungary, Poland, Romania, Slovakia, and Slovenia). CEE countries characterized by comparable historic and economic backgrounds now seem to reach diversified stages of development. The objective of the study is to identify the level of inclusive growth among CEE countries by taking into account indicators assigned to its seven pillars. The article’s thesis is that CEE countries represent social and economic heterogeneity as well as varied levels of sustainable development. Research methods included the application of the principal components analysis and the multivariate analysis. For a literature review, the bibliometric analysis was conducted with the visualization prepared by the VOSviewer software. The main findings suggest that Estonia, Slovenia, and the Czech Republic seem to exhibit the highest level of inclusive growth while Bulgaria and Romania represent the lowest level of indicators measured.

scholarly journals Analysis and Comparison of Economic and Financial Risk Sources in SMEs of the Visegrad Group and Serbia

2019 ◽  
Vol 11 (7) ◽  
pp. 1853 ◽  
Author(s):  
Judit Oláh ◽  
Sándor Kovács ◽  
Zuzana Virglerova ◽  
Zoltán Lakner ◽  
Maria Kovacova ◽  
...  
Keyword(s):  
Risk Management ◽  
Czech Republic ◽  
Financial Risk ◽  
Business Environment ◽  
Primary Objective ◽  
Categorical Variables ◽  
The Czech Republic ◽  
Risk Sources ◽  
Log Linear ◽  
Visegrad Group

Risk management is one of the most important internal process, not only in large companies but also in small and medium-sized enterprises (SMEs). To identify the source of risk can be crucial in all companies. The primary objective of this study is to analyze and compare the economic and financial risk sources in SMEs of the V4 (Visegrad Group: Czech Republic, Hungary, Poland and Slovakia) and Serbia, in the context of the business environment of the countries analyzed. To achieve this goal, a questionnaire-based survey was carried out involving 2110 SMEs from Hungary, Poland, Slovakia, the Czech Republic, and Serbia. The questionnaire included questions about the importance of risks and the concept of risk management in the company. To test the formulated hypotheses, the following statistical tools were used: contingency tables, a Z-value, and a general non-hierarchical log-linear model with three categorical variables and a continuous covariate. Finally, the differences among V4 countries and Serbia were identified. Serbia is more vulnerable to the financial risk sources studied than the V4 countries. The result of the research shows that insufficient profit is more hazardous compared to the other risk sources and all countries are more vulnerable in in this issue. The article concludes with a discussion and a comparison with previous international researches.

scholarly journals Comparison of two methods of erosive rains determination

2014 ◽  
Vol 44 (3) ◽  
pp. 253-269 ◽  
Author(s):  
Hana Středová ◽  
Josef Krása ◽  
Petr Štěpánek ◽  
Ivan Novotný
Keyword(s):  
Kinetic Energy ◽  
Statistical Difference ◽  
Historical Data ◽  
Annual Number ◽  
Precipitation Data ◽  
Factor Analyses ◽  
The Czech Republic ◽  
R Factor ◽  
Significant Difference ◽  
Resolution Data

Abstract Number of erosive rains, kinetic energy of erosive rains and factor of erosive efficiency of rains according to the USLE methodology were assessed by two methods of erosive rains determination. The first method (VAR1) defined erosive rains by intensity ≥ 0.4 mm· min-1; total ≥ 12.5 mm and the second method (VAR2) by intensity ≥ 6 mm· 15 min-1; total ≥ 12.5 mm. Database contained one minute precipitation data from four automatic stations in the Czech Republic for the period of 2000-2005. Two-way analysis of variance (ANOVA) showed a statistically highly significant difference between the annual number of erosive rains determined by the two methods. The rains simultaneously complying with two following criteria (30 min intensity lower than 15 mm·h−1 and sum of 40 mm) were not generally classified as erosive rains according to VAR2. The number of erosive rains determined by VAR2 most often reached 40 to 50% of VAR1 results. Two-way ANOVA proved highly significant differences between the kinetic energy values for the erosive rains determined by VAR1 a VAR2. According to VAR2 the rains with kinetic energy lower than 3 MJ·ha −1 are generally not considered as erosive rains. The results of kinetic energy of the erosive rains determined by VAR2 most often reached 60 to 70% of VAR1 results. Two-way ANOVA has not proved a statistical difference between annual values of R factor of erosive rains determined by the two methods. According to VAR2 the rains with R factor lower than 5 are in general not included into annual R factor value. The results of annual R factor values of erosive rains determined by VAR2 are about 25% lower than the results of VAR1. Correlation between number of erosive rains, kinetic energy of erosive rains and annual R factor value assessed by both methods showed a statistically significant relationship. The conversion formulas between results of the two methods (VAR1 and VAR2) were derived by linear regression. As conclusion we can state that when using present automatic stations in R factor analyses, we have to be aware of overestimating the erosivities compared to historical data based on ombrograms, where only low temporal resolution data were available.

scholarly journals A Comparison of the Financial Characteristics of NAFTA and Latin American Manufacturing Firms

2017 ◽  
Vol 6 (2) ◽  
pp. 22-29
Author(s):  
Gulser Meric ◽  
Cengiz Haksever ◽  
J. Drew Procaccino ◽  
Ilhan Meric
Keyword(s):  
Multivariate Analysis ◽  
Inventory Management ◽  
Analysis Of Variance ◽  
Latin American ◽  
Financial Risk ◽  
Liquidity Risk ◽  
Manufacturing Firms ◽  
Research Topic ◽  
Accounts Receivable ◽  
Financial Characteristics

Comparing the financial characteristics of firms in different countries and different regions has been a popular research topic in finance. However, NAFTA and Latin American manufacturing firms have never been compared. In this paper, we undertake such a study with the MANOVA (Multivariate Analysis of Variance) method and with data drawn from the Research Insight/Global Vintage database in October 2015. Our findings indicate that NAFTA manufacturing firms have less liquidity risk, but more financial risk, compared with Latin American Manufacturing firms. NAFTA manufacturing firms have significantly higher returns on equity due to achieving higher returns on assets and using more financial leverage. Latin American manufacturing firms have more efficient inventory management. However, NAFTA manufacturing firms have more efficient accounts receivable management and total assets management.

scholarly journals Chronotype, Risk and Time Preferences, and Financial Behaviour

Algorithms ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 153 ◽  
Author(s):  
Di Wang ◽  
Frank McGroarty ◽  
Eng-Tuck Cheah
Keyword(s):  
Stock Market ◽  
Credit Card ◽  
Financial Risk ◽  
Online Survey ◽  
Mainland China ◽  
Risk Preference ◽  
Theory And Practice ◽  
Market Participation ◽  
Stock Market Participation ◽  
Financial Behaviour

This paper examines the effect of chronotype on the delinquent credit card payments and stock market participation through preference channels. Using an online survey of 455 individuals who have been working for 3 to 8 years in companies in mainland China, the results reveal that morningness is negatively associated with delinquent credit card payments. Morningness also indirectly predicts delinquent credit card payments through time preference, but this relationship only exists when individuals’ monthly income is at a low and average level. On the other hand, financial risk preference accounts for the effect of morningness on stock market participation. Consequently, an additional finding is that morningness is positively associated with financial risk preference, which contradicts previous findings in the literature. Finally, based on the empirical evidence, we discuss the plausible mechanisms that may drive these relationships and the implications for theory and practice. The current study contributes to the literature by examining the links between circadian typology and particular financial behaviour of experienced workers.

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