Scientific Annals of Economics and Business
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A Survey of the Autonomy, Accountability, Effectiveness and Governance of Slovak State-Owned Enterprises
Get PDFFourteen Slovak state-owned enterprises were studied, using published data and structured interviews with management. A novel methodology is used to assess SOE autonomy, effectiveness, accountability and governance. Variations in operating conditions reflect different government objectives and different ownership models. Mixed state-private firms performed more like competitive firms than did wholly state-owned SOEs. This information was fed into an assessment of Slovak SOEs’ compliance with the 2015 OECD Guidelines on SOE Corporate Governance. There are many differences between Slovak practice and the Guidelines. This may reflect a choice to favour government interests, rather than the OECD’s inclusion of a wider group of stakeholders. One cost is foregone efficiency gains. Another is the perception that the present highly opaque governance system hides corruption.JEL Codes - G30; H44; L32; L33; P2
A Perspective on Industry Classification and Market Reaction to Corporate News: Evidence from India
Get PDFIn this paper, we provide a cross-industry perspective on the market reaction to different corporate news in the context of Indian stock market. We have studied the price and volume movements associated with eight broadly defined news categories namely Analyst Calls, Earnings, Earnings Forecasts, Finance, Legal and Regulatory, Management, Operations and Restructuring. We have employed the standard event study methodology on a sample of stocks listed on the National Stock Exchange of India for the purpose of our study. We observe that the market reaction to firm specific corporate news varies according to the type of news across different industry groups. We also observe that the sentiment of the news is a critical factor which influences the market reaction to such news flow across industry groups. We also provide a cross- industry perspective on the relative importance of different corporate news categories after taking into account the sentiment of the news in the context of Indian stock market.JEL Codes - G12; G1
The Importance of Intangible Assets in the Hotel Industry: The Case of Croatia and Slovenia
Get PDFStudies show an increasing importance of intangible assets (hereinafter IA) and a positive relationship between IA and company performance. The purpose of this paper is to analyse the importance of IA for Croatian and Slovene hotel companies and to find out whether companies with a higher share of intangibles are also more profitable. The analysis is based on publicly available financial statements for the five-year period, from 2011 to 2015. The results show that the average share of IA presented in the balance sheets of the analysed hotel companies is low in both countries. Moreover, we could not find a statistically significant relationship between the share of IA and the selected financial performance indicators. The results of our study show that despite the emphasised importance of IA in literature, the publicly available financial data of the selected hotel companies provides very limited information on IA for external stakeholders.JEL Codes - L83; M4
Modeling the Diffusion of Private Pension Provision
Get PDFThe purpose of this paper is threefold: to adapt the innovation diffusion models to describe and predict the diffusion of private pension provision; to evaluate the suitability of diffusion models based on the historical data from the Romanian and Ukrainian voluntary pension systems; and to compare the diffusion parameters of private pension provision in these countries. The study proven that diffusion models, such as the Rogers model and the Bass model, can reproduce the diffusion of innovations in the field of pensions. The Rogers diffusion parameters for Romania and Ukraine are almost identical; this gives grounds for a conclusion about the similar behavioral patterns in post-socialist countries. However, some limitations on models use are noted. During the crisis and when using the nudge mechanism, models are not always well-fitting, but when new pension schemes are introduced or new pension funds are opened, models can be used in “guessing by analogy”.JEL Codes - C51; G5
Rethinking Microfinance in a Dual Financial System: An Agent-based Simulation
Get PDFCritics concerning the real impact of traditional microfinance as a tool for poverty alleviation are becoming frequent. In contrast, the financial crisis brought out interest for Islamic finance, whose models have been increasingly studied. Today, the real challenge lies in evaluating the impact of microfinance in a complex environment, where both Islamic and conventional microfinance institutions exist and address evolving clients in constant interaction. New methods and models are therefore needed in order to test the efficacy and assess the impact of introducing Islamic microfinance products, compared to the conventional system. In this context, this paper proposes an approach to build an Agent-Based Modeling (ABM) framework, which is aiming to test the effects of such products implementation using Islamic interest-free group loans. It also helps assess the impact of the behavioral biases as well as agents’ interactions within the repayment process.JEL Codes - C63; G2
Comparing Simple Forecasting Methods and Complex Methods: A Frame of Forecasting Competition
Get PDFThe gross capital formation (GCF), which helps to gradually increase GDP itself, is financed by domestic savings (DS) in both developed and developing countries. Therefore, forecasting GCF is the key subject to the economists’ decisions making. In this study, I use simple forecasting methods, namely dynamic relation model called “Autoregressive Distributed Lag Model (ARDL)”, and complex methods such as Adaptive Neuro Fuzzy Inference System (ANFIS) method and ARIMA-ANFIS method to determine which method provides better out-of-sample forecasting performance. In addition, the contribution of this study is to show how important to use domestic savings in forecasting GCF. On the other hand, ANFIS and hybrid ARIMA-ANFIS methods are comparatively new, and no GCF modeling using ANFIS and ARIMA-ANFIS was attempted until recently to the best of my knowledge. In addition, Autoregressive Integrated Moving Average (ARIMA) method and Vector Autoregressive (VAR) model serve as benchmarks, allowing for fair competing for the study.JEL Codes - C45; C5
Financial Deepening, Foreign Direct Investment and Output Performance in Nigeria
Get PDFThis study examines the relationship between financial deepening, foreign direct investment and output performance in Nigeria from 1980-2015 using the Autoregressive Distributed Lag (ARDL) Bound Test approach. A long-run relationship was established between financial deepening indicators, foreign direct investment and output performance in Nigeria. Foreign direct investment and market capitalization as a percentage of the GDP exerted significantly on output performance both in the short-run and in the long-run periods. It is recommended that financial depth should be enhanced through improved and highly efficient provision of credit by banks to the real sector of the Nigerian economy.JEL Codes - C32; E44; E51; G2
Strengthening the Team Performance through Personality and Emotional Intelligence: Smart PLS Approach
Get PDFThe aim of the current study is to analyze the relationships of Emotional Intelligence (EI) dimension and Personality (P) traits of individual towards Team Performance (TP). The current study analyses the effect of Emotional Intelligence (Goleman, 1995) and personality (Big Five personality; Gosling et al., 2003) traits for Air India employees’ Team Performance. This study has used a simple random sampling method with a sample size of one hundred and twenty five employees from Air India .The Current study uses Smart PLS based Structural Equation Modeling approach and the results shows that Personality and Emotional Intelligence affects the team performance by 72.080% which is a considerable effect and this concludes that EI is a vital factor and it is considered as work place glue of individual personality and team performance of the contemporary organization.JEL Codes - M12; M54; D9
On the Gains of Using High Frequency Data in Portfolio Selection
Get PDFThis paper analyzes empirically the performance gains of using high frequency data in portfolio selection. Assuming Constant Relative Risk Aversion (CRRA) preferences, with different relative risk aversion levels, we compare low and high frequency portfolios within mean-variance, mean-variance-skewness and mean-variance-skewness-kurtosis frameworks. Using data on fourteen stocks of the Euronext Paris, from January 1999 to December 2005, we conclude that the high frequency portfolios outperform the low frequency portfolios for every out-of-sample measure, irrespectively to the relative risk aversion coefficient considered. The empirical results also suggest that for moderate relative risk aversion the best performance is always achieved through the jointly use of the realized variance, skewness and kurtosis. This claim is reinforced when trading costs are taken into account.JEL Codes - C55; C61; G1
The Interaction between American and European IRS Interest Rates
Get PDFEuropean interest rates movements are affected by various internal and external factors. This paper studies the link between European and American short- and long-term interest rates. In particular, we consider the forward interest rates coming from euro and dollar IRS term structures. The econometric techniques employed are co-integration, Granger-causality, OLS and GMM. Our results indicate that European remote settlement forward and long-term interest rates are primarily driven by US rates and confirm that the causality acts mainly from the US to the Eurozone. This was true even during the recent periods of European Central Bank quantitative easing. These factors weaken the ECB’s ability to intervene. In fact, we found the impact of American monetary policy on long-term interest rates to be also relevant for European bonds.JEL Codes - C51; E47; E5