scholarly journals Grey power models based on optimization of initial condition and model parameters

2014 ◽  
Vol 4 (2) ◽  
pp. 370-382 ◽  
Author(s):  
Yunchol Jong ◽  
Sifeng Liu
Keyword(s):  
Least Square Method ◽  
Least Square ◽  
Model Parameters ◽  
Initial Condition ◽  
Content Type ◽  
Novel Approach ◽  
New Information ◽  
Power Models ◽  
Grey Verhulst Model ◽  
Verhulst Model

Purpose – The purpose of this paper is to propose a novel approach to improve prediction accuracy of grey power models including GM(1, 1) and grey Verhulst model. Design/methodology/approach – The modified new models are proposed by optimizing the initial condition and model parameters. The new initial condition consists of the first item and the last item of a sequence generated by applying the first-order accumulative generation operator on the sequence of raw data. Findings – It is shown that the newly modified grey power model is an extension of the previous optimized GM(1, 1) and grey Verhulst model. And the optimized initial condition reflected the principle of new information priority. Practical implications – The result of a numerical example indicates that the modified grey model presented in this paper with better prediction performance. Originality/value – The new initial condition are derived by weighted combination of the first item and the last item. The coefficients of weight obtained by the least square method.

Islamic calendar and stock market behaviour in India

2018 ◽  
Vol 45 (11) ◽  
pp. 1550-1566
Author(s):  
Dharani Munusamy
Keyword(s):  
Stock Market ◽  
Least Square Method ◽  
Least Square ◽  
Stock Market Returns ◽  
Content Type ◽  
Ordinary Least Square ◽  
Average Return ◽  
Year Effect ◽  
The Common ◽  
The Impact

Purpose The purpose of this paper is to examine the behavior of the stock market returns in the different days of the week and different months of the year in accordance with the Islamic calendar. Further, the study estimates the risk-adjusted returns to test the performance of the indices during the Ramadan and non-Ramadan days. Finally, the study investigates the impact of Ramadan on the returns and the volatility of the stock market indices in India. Design/methodology/approach Initially, the study applies the Ordinary Least Square method to test the day-of-the-week and the month-of-the-year effect of the common and Shariah indices. Next, the study employs the risk-adjusted measurement to examine the underperformance and over-performance of the indices for both the periods. Finally, the study estimates the GARCH (1,1) and GJR-GARCH (1,1) models to observe the impact of Ramadan on the returns and the volatility of the Shariah indices in India. Findings The study finds that an average return of the indices during the Ramadan days are higher than non-Ramadan days. Further, the average returns of the Shariah indices are significantly higher on Wednesday than other days of the week. In addition, the highest and significant mean returns and mean risk-adjusted returns of the indices during the Ramadan days are observed. Finally, the study finds an evidence of the Ramadan effect on the returns and volatility of the indices in India. Originality/value The study observes evidence that the Ramadan effect influences the Shariah indices, but not the common indices in the stock market of the non-Muslim countries. It indicates that the Ramadan creates the positive mood and emotions in the investors buying and selling activities. The study suggests that investors can buy the shares before Ramadan period and sell them during the Ramadan days to get an abnormal return in the emerging markets.

Macroeconomic determinants of trade openness: empirical investigation of SAARC region

2018 ◽  
Vol 12 (2) ◽  
pp. 151-161 ◽  
Author(s):  
Muhammad Tahir ◽  
SAF Hasnu ◽  
Mario Ruiz Estrada
Keyword(s):  
Regional Cooperation ◽  
Labour Force ◽  
Trade Openness ◽  
Least Square Method ◽  
Least Square ◽  
Content Type ◽  
Currency Exchange ◽  
Long Run ◽  
Macroeconomic Determinants ◽  
The Impact

Purpose Trade openness plays a significant role in the growth process of countries. The purpose of this paper is to examine the impact of macroeconomic determinants on the trade openness of countries. Design/methodology/approach The study focuses on the South Asian Association for Regional Cooperation (SAARC) member countries and the data used were from 1971 to 2011. Panel data econometrics techniques and two stages least square method (TSLS) are used to carry out empirical analysis and robustness testing. Findings The main finding of the paper is that macroeconomic determinants such as investment both in physical and human capital and per capita gross domestic product (GDP) positively affect trade openness. Further, the size of labour force and currency exchange rate has also impacted trade openness negatively and significantly. Practical implications It implies that efficient macroeconomic management matters for higher trade openness. The sampled developing countries are suggested to pay favourable attention to macroeconomic variables if they want to grow in the long run through outward-oriented policies. Originality/value This paper is an original contribution in the context of SAARC countries by focusing on the relationship between macroeconomic determinants and trade openness.

Examination of Correlation Between Arousal Level and Auditory Environmental Change Using Rock and Classic Music

2017 ◽  
Author(s):  
Kentaro Miyago ◽  
Kenyu Uehara ◽  
Takashi Saito
Keyword(s):  
Visual Cortex ◽  
Frontal Lobe ◽  
Traffic Accidents ◽  
Evaluation Method ◽  
Duffing Oscillator ◽  
Least Square Method ◽  
Arousal Level ◽  
Least Square ◽  
Model Parameters ◽  
Eeg Data

Recently, traffic accidents due to drowsy driving, operation mistake in the power plant by drowsiness and decrease arousal in employment during work have been attracted as problems. To avoid such an accident, arousal level could be quantitatively evaluated in real time. We suggested that the one of the parameters of Duffing oscillator parameters is related to the conventional arousal level using the EEG frequency component. However, in this examination, effects on the EEG from visual and active behavior were considered, but those from hearing also need to be investigated. In this paper, we performed the experiment in the musical environment using rock and classic music to investigate the model parameters for effect of the auditory stimulation, and acquired EEG data in Visual cortex and Frontal lobe. The acquired EEG data was used to identify the model parameters, which were identified solving the inverse problem by Least Square method. Results of investigating correlation between conventional arousal revel and model parameter shows a significant correlation in case of the auditory environmental situation. Moreover, Visual cortex is better than Frontal lobe as a measurement point in this evaluation method.

Accounting students' perceptions of work–life balance, accounting career image and intention to pursue accounting careers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saarce Elsye Hatane ◽  
Bernard Emerson ◽  
Olievia Soesanto ◽  
Ruth Arum Gunawan ◽  
Hatane Semuel
Keyword(s):  
Structural Equation ◽  
Least Square Method ◽  
Work Life ◽  
Partial Least Square ◽  
Least Square ◽  
Work Life Balance ◽  
Accounting Students ◽  
Life Balance ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this study is to discover the impact of work–life balance on the intention to pursue accounting careers through accounting career image.Design/methodology/approachThe study managed to collect 693 closed questionnaires, using the five-point Likert Scale, from accounting students in several universities in Java, Sulawesi and Kalimantan, as the three most densely populated islands in Indonesia. The research model is analysed using partial least square method as a part of structural equation modelling.FindingsThere are positive and significant influences between work–life balance and the intention to pursue accounting career when supported by accounting career image. The positive perception of accounting career image motivates accounting students to pursue accounting careers. Accounting students argue that attaining a balance between work and personal life can improve positive perceptions of accounting careers, which drive them to pursue a career in accounting. Work–life balance is an essential factor due to the fact that it can, directly and indirectly, affect the intention to pursue accounting careers. In addition, positive image of accounting profession is found to be able to strengthen the positive influence of the work–life balance to pursue accounting careers.Research limitations/implicationsFurther studies can continue along the line of this study as the intention to choose an accounting career can change from time to time. In addition, the generational difference may create a discrepancy in perception and orientation in choosing accounting careers. Therefore, future studies should consider a broader scope and more updated objects.Practical implicationsThe findings suggest that working experience is an essential part for accounting students in choosing accounting careers, and so higher education institutions need to consider including field work-practice in their curriculums. Companies are also expected to prioritise work–life balance since it will motivate accounting students to choose an accounting career.Originality/valueThis study investigates the link between work–life balance and decisions to pursue accounting careers through accounting students' perceptions in Indonesia. This study combines the influences of work–life balance and accounting career image on the intention to pursue accounting careers in one model, in which accounting career image is the mediating variable in the indirect link of work–life balance.

Impact of hedonic motivation and corporate culture on the adoption of an information system

Kybernetes ◽  
2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Imane Beqqali Hassani ◽  
Razane Chroqui ◽  
Chafik Okar ◽  
Mohamed Talea ◽  
Ahmed Ouiddad
Keyword(s):  
Information System ◽  
Corporate Culture ◽  
Structural Model ◽  
Least Square Method ◽  
Measurement Model ◽  
Partial Least Square ◽  
Least Square ◽  
Adoption Process ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to evaluate the impact of corporate culture (CC) and hedonic motivation (HM) on the adoption of an information system (IS) inside a Moroccan company. To do so, the authors have combined and merged the “unified theory of acceptance and use of technology 2” along with the “Nguyen and Aoyama’s model” that covers the subject of CC. Later, the authors tested the research model within a Moroccan company. Design/methodology/approach In the present work, the authors used a quantitative analysis approach. Survey data were collected through oral interviews and analysis was performed based on the “partial least square” method, over a 94 sample of direct IS users. Findings The findings of the present investigation demonstrate the reliability and the validity of the established measurement model. Concerning the structural model, results support all hypotheses but with different effect size. The conclusion that can be extracted from this study is that CC and HM are important factors in the adoption process within the Moroccan firm. Originality/value This study enhances the understanding of the major factors affecting the adoption of an IS in a developing country. While several studies on adoption have been conducted, this study’s originality and contribution lays in the examination of the rarely evaluated factors: HM and CC.

Effects of board characteristics, audit committee and risk management on corporate performance: evidence from Palestinian listed companies

2020 ◽  
Vol 13 (4) ◽  
pp. 691-706
Author(s):  
Sami R.M. Musallam
Keyword(s):  
Risk Management ◽  
Audit Committee ◽  
Corporate Performance ◽  
Emerging Market ◽  
Chief Executive ◽  
Least Square Method ◽  
Listed Companies ◽  
Least Square ◽  
Content Type ◽  
Board Characteristics

Purpose This paper aims to investigate the effects of board characteristics, audit committee and risk management on corporate performance. Design/methodology/approach Using a sample of 31 Palestinian non-financial listed companies from 2010 to 2016, this study uses a generalized least square method. Findings The results show that the effects of board ownership, board independence, audit committee meeting, audit committee size, audit committee financial expertise and risk management are positive and significant on corporate performance while the effects of chief executive officer duality and audit committee size are negative and significant on corporate performance. Practical implications The results of this paper are important to policymakers, shareholders and directors of companies to make appropriate choices about the board, audit committee characteristics and risk management to protect the interest of different stakeholders, increase the flow of capital and foreign investment into non-financial companies. Social implications This paper fills a gap in the corporate governance literature by investigating the effects of board characteristics, audit committee and risk management on corporate performance in Palestine as one of the youngest stock exchanges in a region that assists in testing the validity of agency theory in a young and small emerging market context. Originality/value This paper is the first to investigate the effects of board characteristics, audit committee and risk management collectively on corporate performance in Palestine as prior research on these topics has been investigated separately.

Effect of middle managers’ cultural intelligence on firms’ innovation performance

2019 ◽  
Vol 49 (4) ◽  
pp. 1015-1038 ◽  
Author(s):  
Sarra Berraies
Keyword(s):  
Cultural Diversity ◽  
Cultural Intelligence ◽  
Middle Managers ◽  
Least Square Method ◽  
Partial Least Square ◽  
Innovation Performance ◽  
Least Square ◽  
Three Dimensions ◽  
Content Type

Purpose The purpose of this paper is to examine the effect of the metacognitive, cognitive, motivational and behavioral dimensions of the middle managers’ cultural intelligence (CQ) on firms’ innovation performance in a context of cultural diversity and the mediating role of knowledge sharing in this relationship. The author deepens the analysis by exploring the moderating role of collaborative climate (CC) on the link between CQ and KS. Design/methodology/approach A survey was conducted on 186 foreign middle managers working in Tunisian firms. The data analysis was performed via the partial least square method. Findings The results revealed that middle managers’ metacognitive CQ has a positive effect on KS, which in turn enhances firms’ innovation performance. In this line, KS partially mediates the relationship between metacogntive CQ and innovation performance. Findings also indicate that CC moderates the link between three dimensions of CQ, namely metacognitive, behavioral and motivational CQs and KS. Originality/value The paper sheds lights on the contribution of middle managers’ CQ and the CC within firms to the KS and innovation performance in a context of cultural diversity. At the best of the author’s knowledge, the links among these variables had not been empirically examined, especially involving samples of middle managers. This study offers important insights for managers by providing them with tools to improve KS and firms’ innovation.

scholarly journals Online Parameter Identification and State of Charge Estimation of Battery Based on Multitimescale Adaptive Double Kalman Filter Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-20
Author(s):  
Wenxian Duan ◽  
Chuanxue Song ◽  
Yuan Chen ◽  
Feng Xiao ◽  
Silun Peng ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Parameter Identification ◽  
Unscented Kalman Filter ◽  
Least Square Method ◽  
State Of Charge ◽  
Least Square ◽  
Accurate Estimation ◽  
Battery Life ◽  
Model Parameters ◽  
Simulation Results

An accurate state of charge (SOC) can provide effective judgment for the BMS, which is conducive for prolonging battery life and protecting the working state of the entire battery pack. In this study, the first-order RC battery model is used as the research object and two parameter identification methods based on the least square method (RLS) are analyzed and discussed in detail. The simulation results show that the model parameters identified under the Federal Urban Driving Schedule (HPPC) condition are not suitable for the Federal Urban Driving Schedule (FUDS) condition. The parameters of the model are not universal through the HPPC condition. A multitimescale prediction model is also proposed to estimate the SOC of the battery. That is, the extended Kalman filter (EKF) is adopted to update the model parameters and the adaptive unscented Kalman filter (AUKF) is used to predict the battery SOC. The experimental results at different temperatures show that the EKF-AUKF method is superior to other methods. The algorithm is simulated and verified under different initial SOC errors. In the whole FUDS operating condition, the RSME of the SOC is within 1%, and that of the voltage is within 0.01 V. It indicates that the proposed algorithm can obtain accurate estimation results and has strong robustness. Moreover, the simulation results after adding noise errors to the current and voltage values reveal that the algorithm can eliminate the sensor accuracy effect to a certain extent.

Earnings persistence and predictability within the emerging economy of Georgia

2020 ◽  
Vol 18 (3) ◽  
pp. 563-589
Author(s):  
Erekle Pirveli
Keyword(s):  
Private Sector ◽  
Least Square Method ◽  
Cash Flows ◽  
Poor Quality ◽  
Least Square ◽  
Earnings Persistence ◽  
Content Type ◽  
Final Sample ◽  
One Year ◽  
Auto Regression

Purpose The purpose of this paper is to provide the first empirical assessment of the persistence and predictability of earnings within the Georgian private sector entities. Design/methodology/approach The sample comprises of all the Georgian private sector entities who, according to the new Law of Georgia on Accounting, Reporting and Auditing (2016), had to submit their audited financial statements by 1 October 2018. Financial data has been officially withdrawn from the Ministry of Finance of Georgia and the descriptive data has been obtained by the use of Link Klipper and ScrapeStorm tools through the official “Reportal” website. The final sample consists of 450 large Georgian private sector entities. The study uses a simple, one-year-lagged earnings auto-regression to detect the persistence and predictability within the next series of earnings. A weighted least square method has been used as a statistical procedure. Findings The results reveal that current earnings persist within the next year’s series of earnings at less than 25%, while the reliance on current year’s earnings enables us to predict the next year’s earnings only with a chance of 20%. Further analysis has witnessed that cash flows from operations persist at less than 40% and are able of predicting the next year’s cash flows at below 35%. Overall, the properties of earnings and cash flows within the private sector of Georgia are of relatively poor quality, with the latter demonstrating higher properties compared to earnings. Practical implications The general finding on a relatively low property of earnings raises potential investors and creditors’ awareness on the valuation-usefulness of provided financial information within the private sector of Georgia. The fact that earnings are significantly less persistent and predictable compared to cash flows from operations, hints on accruals’ problematic functioning. The results presented in this paper should be of interest to a local regulator (SARAS), charged with the responsibility of successfully running a currently ongoing accounting reform of Georgia. Originality/value This is the first study that examines the persistence and predictability of earnings and cash flows from operations among the private sector entities of Georgia.

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