Financial Behavior; Relationship between Total investments, Sources of Funds and the Potential Loss against Products of the Business Operations and Their Impacts on Re Investment for Lecturers and Employees Businesses of Telkom University – Indonesia

Europa XXI ◽  
2020 ◽  
Vol 39 ◽  
Author(s):  
Marek Szczepaniec ◽  
Tomasz Jurkiewicz

The aim of this article is to present results of long-term empirical research on the changing behavior of micro, small and medium-sized enterprises (SMEs) in Poland in the context of spatial exclusion and spatial ‘justice’. Between 2007 and 2015, the authors conducted cyclical research on the financial behavior of SMEs in Poland on large samples. The scope of research on traditional and virtual space covered mainly: the criteria for selecting a bank for current service and the use of various banking services in particular distribution channels. In the researched period, the percentage of indications to convenient location as the most important factor for selecting a bank dropped from 29% to 16%. In the entire period under research, the highest percentage of indications to convenient location as the most important factor for selecting a bank was recorded in the micro enterprises sector. The percentage of entrepreneurs’ indications of fees and commissions as the most important factor in choosing a bank increase from 28% to 36%. Price parameters became the most important factor of bank selection in the SME sector. Virtual space was used primarily to distribute less complex banking services (checking the account balance and viewing the history of operations on the account, as well as to make transfers). In the case of more complex products, such as deposits or loans, traditional banking branches were preferred. In contrast to the results of the American research (Degryse & Ongena, 2002), in Poland there was no impact of the distance between the company and the bank branch on the loan utilization rates and the loan refusal rates. The research has shown that the virtual space equalizes the opportunities, facilitates business operations, contributes to a drop in prices and improvement in quality of the offered products and services, and renders the access to products and services fairer.


Author(s):  
Thomas Plieger ◽  
Thomas Grünhage ◽  
Éilish Duke ◽  
Martin Reuter

Abstract. Gender and personality traits influence risk proneness in the context of financial decisions. However, most studies on this topic have relied on either self-report data or on artificial measures of financial risk-taking behavior. Our study aimed to identify relevant trading behaviors and personal characteristics related to trading success. N = 108 Caucasians took part in a three-week stock market simulation paradigm, in which they traded shares of eight fictional companies that differed in issue price, volatility, and outcome. Participants also completed questionnaires measuring personality, risk-taking behavior, and life stress. Our model showed that being male and scoring high on self-directedness led to more risky financial behavior, which in turn positively predicted success in the stock market simulation. The total model explained 39% of the variance in trading success, indicating a role for other factors in influencing trading behavior. Future studies should try to enrich our model to get a more accurate impression of the associations between individual characteristics and financially successful behavior in context of stock trading.


2020 ◽  
Vol 8 (8) ◽  
pp. 1444-1458
Author(s):  
N.M. Baranova ◽  
D.S. Loginova ◽  
S.N. Larin

Subject. Illustrating the case of Rosneft Oil Company, we herein study how innovation spurs business operations, increases the competitiveness of firms and protects them from risks. Objectives. We model the innovative activity of Rosneft Oil Company and its competitiveness. Methods. We analyze proceedings by the Russian and foreign scholars, materials on program for the innovative and sustainable development of Rosneft Oil Company. Our assessments were based on statistical data of Rosneft’s annual report for 2004–2019. The regression analysis and econometric studies were conducted via Eviews10. Results. We set models to predict the innovative development of the company for the nearest future. We revealed that the linear model was the most appropriate and suitable for forecasting. Properties and estimates of the exponential model turned to be insignificant, on the contrary. Conclusions and Relevance. Currently, it is difficult to forecast the extent to which corporate development, its innovative activity will change in 2020 and in the nearest future. Despite the company’s achievements before 2020, continuous trade wars, geopolitical conflicts, pandemic, OPEC agreements and a consequential drastic drop in the demand for power resources considerably slowed down the pace of the economic growth not only in the company, but also in the country.


2019 ◽  
Vol 118 (10) ◽  
pp. 252-271
Author(s):  
Md. Hashmathur Rehman ◽  
Dr. M. Rajkumar

The environmental situation for an organization is the environment in which an organization operates.It consists of multiple stakeholders such as governing board members, business competitors, suppliers,customers, the government, etc. They can influence the organization’s decision to adopt an innovation. The influence can ease the organization in adopting the innovation or it can block or affect negatively the organization’s decision to adopt the innovation. Dynamics of the market in which the organization operatesand business competitors will also influence the organization’s decision to adopt innovations.  Customers, Suppliers are sources who will exercise their powers and influence the organization’s decision. Governmentregulation is also equally important and will influence the organization’s decision to adopt innovation. In a nutshell, the environment will influence the organization’s decision to adopt innovations for its business operations.


2011 ◽  
Vol 10 (2) ◽  
pp. 1
Author(s):  
Y. ARBI ◽  
R. BUDIARTI ◽  
I G. P. PURNABA

Operational risk is defined as the risk of loss resulting from inadequate or failed internal processes or external problems. Insurance companies as financial institution that also faced at risk. Recording of operating losses in insurance companies, were not properly conducted so that the impact on the limited data for operational losses. In this work, the data of operational loss observed from the payment of the claim. In general, the number of insurance claims can be modelled using the Poisson distribution, where the expected value of the claims is similar with variance, while the negative binomial distribution, the expected value was bound to be less than the variance.Analysis tools are used in the measurement of the potential loss is the loss distribution approach with the aggregate method. In the aggregate method, loss data grouped in a frequency distribution and severity distribution. After doing 10.000 times simulation are resulted total loss of claim value, which is total from individual claim every simulation. Then from the result was set the value of potential loss (OpVar) at a certain level confidence.


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