scholarly journals Макроекономска (не)стаблиност Босне и Херцеговине – криза: шанса или ограничење // Macroeconomic (in)stability of Bosnia and Herzegovina – crisis: opportunities or limitations

2013 ◽  
Vol 11 (18) ◽  
pp. 67
Author(s):  
Мирко Пуљић
Keyword(s):  
Decision Making ◽  
Bosnia And Herzegovina ◽  
Financial Literacy ◽  
Continuous Monitoring ◽  
Full Employment ◽  
Balance Of Payments ◽  
Price Stability ◽  
Material Resources ◽  
Long Time ◽  
Balanced Budget

Резиме: Одговор на питање да ли су глобални процеси манифестовани у виду финансијске кризе, шанса или ограничење развоја националне економије подразумијева двије основне претпоставке: знање и разумијевање, те способност интерпретације суштине глобалних процеса и познавање структуре, људских и материјалних капацитета, националне економије.Наведене претпоставке се могу испунити само под условом систематског и континуираног праћења и анализе како глобалних процеса, тако и кретања у оквиру националне економије.Знање из финансија и сродних, односно граничних области омогућава успјех у проналажењу шансе и у кризним околностима. Актери одлучивања код нас не посједују финансијску писменост, односно одговарајућа знања и разумијевање за идентификовање и реализацију повољних прилика. А криза је и шанса, давно је речено. То произилази и из саме грчке ријечи krisis, или кинеске weiji које означавају кризу и у себи садрже како опасност или ограничење, тако и шансу, односно прилику. Постојеће макроекономско стање БиХ се од једног броја политичара квалификује као стабилно. У тексту се та констатација оспорава презентирањем шест макроекономских сегмената – кретање БДП, пуна запосленост, стабилност цијена, стабилност девизног курса, уравнотежени биланс плаћања и уравнотежени буџет.Summary: The answer to the question of whether global processes manifested in the form of financial crisis, are opportunities or limitations for the development of the national economy requires two basic assumptions:Knowledge and understanding, and interpretation of the essence of global processes andKnowledge of the structure, of human and material resources, national economy.The aforementioned assumptions can be met only under the condition of systematic and continuous monitoring and analysis of global processes and trends in the national economy.Knowledge in finance and related fields provides success in finding opportunities in crisis circumstances. Decision making authorities do not possess adequate financial literacy and knowledge and understanding to identify and implement opportunities. A crisis is an opportunity, it has been said a long time ago. It derives from the Greek word Krisis or Chinese Wei which indicate crisis and contain danger or limitation as well as chance and opportunity.The current macroeconomic situation in Bosnia and Herzegovina is deemed stable by a number of qualified officials.This paper challenges this conclusion by presenting six macro-economic segments - the growth of GDP, full employment, price stability, exchange rate stability, balanced balance of payments and balanced budget.

scholarly journals Management of Innovations in Finance Education: Cluster Analysis for OECD Countries

2020 ◽  
pp. 235-244 ◽  
Author(s):  
Bohuslava Mihalcova ◽  
Peter Gallo ◽  
Jozef Lukac
Keyword(s):  
Decision Making ◽  
Cluster Analysis ◽  
Financial Literacy ◽  
Financial Education ◽  
Oecd Countries ◽  
Vocational Education And Training ◽  
School Students ◽  
Personal Finances ◽  
Long Time ◽  
Market Needs

Financial literacy and financial education is a concept that helps people in orientation in both the financial markets and the area of personal finances. Financial literacy can be acknowledged through financial education. Financial education should enable individuals to develop their decision-making competencies. It includes issues such are the understanding of money, how to deal with them within the risk of their investment. The issue of financial literacy for primary and secondary school students has been monitored over a long time through several evaluations. In this case, it is very well known the PISA rating, which was lastly performed in the first half of 2018. It represents the ability of how to use skills and knowledge in managing one’s financial resources while achieving maximum prosperity. Financial education should enable individuals to develop their decision-making competencies related to money. The paper aims to perform a cluster analysis based on the data available from the PISA 2015 measurement in selected OECD countries. The analysis represents results in a cluster of countries. The study analysed of financial literacy 15-year-olds students. The study observed similar research results in both the area of financial literacy and mathematical literacy. From the selected PISA 2015 test results applied through cluster analysis, we decided that the Slovak students were placed in a cluster together with students from Spain, Chile and Lithuania. The study observed the quality of vocational education and training is criticized mainly by employers because the area of education is inadequately responsive to labour market needs. Employee stress that it is inadequately linked to practice. Vocational training is inadequate compared to general schools. The methodology we recommend should also be applied to the results of the PISA 2018 evaluation, which are not yet available to the public. We would like to address this issue in future. The cluster analysis helps to reveal competitiveness in the area of financial literacy. The results of our research within Slovak students were based on a similar level of financial literacy among Slovak pupils as in Spain, Chile and Lithuania. Keywords cluster analysis, financial literacy, PISA, pupils, OECD countries, Slovakia.

scholarly journals Predicting Fraud Victimization Using Classical Machine Learning

Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 300
Author(s):  
Mark Lokanan ◽  
Susan Liu
Keyword(s):  
Machine Learning ◽  
Financial Literacy ◽  
Learning Algorithm ◽  
Demographic Characteristics ◽  
Financial Knowledge ◽  
The Past ◽  
Machine Learning Model ◽  
Long Time ◽  
Regulatory Organization ◽  
Investment Fraud

Protecting financial consumers from investment fraud has been a recurring problem in Canada. The purpose of this paper is to predict the demographic characteristics of investors who are likely to be victims of investment fraud. Data for this paper came from the Investment Industry Regulatory Organization of Canada’s (IIROC) database between January of 2009 and December of 2019. In total, 4575 investors were coded as victims of investment fraud. The study employed a machine-learning algorithm to predict the probability of fraud victimization. The machine learning model deployed in this paper predicted the typical demographic profile of fraud victims as investors who classify as female, have poor financial knowledge, know the advisor from the past, and are retired. Investors who are characterized as having limited financial literacy but a long-time relationship with their advisor have reduced probabilities of being victimized. However, male investors with low or moderate-level investment knowledge were more likely to be preyed upon by their investment advisors. While not statistically significant, older adults, in general, are at greater risk of being victimized. The findings from this paper can be used by Canadian self-regulatory organizations and securities commissions to inform their investors’ protection mandates.

Towards Full Employment and Price Stability.

1978 ◽  
Vol 10 (3) ◽  
pp. 396
Author(s):  
Donald R. Hodgman ◽  
Paul McCracken ◽  
Guido Carli ◽  
Herbert Giersch ◽  
Attila Karaosmanoglu ◽  
...  
Keyword(s):  
Full Employment ◽  
Price Stability

scholarly journals PENGARUH LITERASI KEUANGAN, PENDAPATAN SERTA MASA BEKERJA TERHADAP PERILAKU KEPUTUSAN INVESTASI

2018 ◽  
pp. 1867 ◽  
Author(s):  
IGA MERTHA DEWI ◽  
Ida Bagus Anom Purbawangsa
Keyword(s):  
Financial Literacy ◽  
Investment Decision ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Decision Behavior ◽  
Financial Conditions ◽  
New Employee ◽  
Long Time ◽  
Positive Effect

Research respondents are employees of PT Bank Pembangunan Daerah Bali Branch Renon with a sample of 76 people. Sampling technique in this research use random sampling. Data were analyzed by using Multiple Linear Regression Analysis. The result of this indicate that financial literacy, income has a positive effect on investment decision behavior, but the work period positively has no effect on investment decision behavior. This is because in the banking industry, the entire new employee and who have been working long time get the training and obtain informations about financial developments and financial conditions that occur at this time. In the other words the undertanding of financial literacy and employee behavior is almost the same. Based on the results of statistical data, financial literacy variables have the most influence in determining the behavior of investment decisions compared to income. This explains that a good understanding of finance is a major factor in determining an invesment decisions.

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