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1 – 10 of over 2000J.I. Ramos and Carmen María García López
The purpose of this paper is to analyze numerically the blowup in finite time of the solutions to a one-dimensional, bidirectional, nonlinear wave model equation for the…
Abstract
Purpose
The purpose of this paper is to analyze numerically the blowup in finite time of the solutions to a one-dimensional, bidirectional, nonlinear wave model equation for the propagation of small-amplitude waves in shallow water, as a function of the relaxation time, linear and nonlinear drift, power of the nonlinear advection flux, viscosity coefficient, viscous attenuation, and amplitude, smoothness and width of three types of initial conditions.
Design/methodology/approach
An implicit, first-order accurate in time, finite difference method valid for semipositive relaxation times has been used to solve the equation in a truncated domain for three different initial conditions, a first-order time derivative initially equal to zero and several constant wave speeds.
Findings
The numerical experiments show a very rapid transient from the initial conditions to the formation of a leading propagating wave, whose duration depends strongly on the shape, amplitude and width of the initial data as well as on the coefficients of the bidirectional equation. The blowup times for the triangular conditions have been found to be larger than those for the Gaussian ones, and the latter are larger than those for rectangular conditions, thus indicating that the blowup time decreases as the smoothness of the initial conditions decreases. The blowup time has also been found to decrease as the relaxation time, degree of nonlinearity, linear drift coefficient and amplitude of the initial conditions are increased, and as the width of the initial condition is decreased, but it increases as the viscosity coefficient is increased. No blowup has been observed for relaxation times smaller than one-hundredth, viscosity coefficients larger than ten-thousandths, quadratic and cubic nonlinearities, and initial Gaussian, triangular and rectangular conditions of unity amplitude.
Originality/value
The blowup of a one-dimensional, bidirectional equation that is a model for the propagation of waves in shallow water, longitudinal displacement in homogeneous viscoelastic bars, nerve conduction, nonlinear acoustics and heat transfer in very small devices and/or at very high transfer rates has been determined numerically as a function of the linear and nonlinear drift coefficients, power of the nonlinear drift, viscosity coefficient, viscous attenuation, and amplitude, smoothness and width of the initial conditions for nonzero relaxation times.
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Monsurat Ayojimi Salami and Razali Haron
The purpose of this paper is to examine the pricing efficiency of the Malaysian crude palm oil (CPO) market before and after the structural break. This study uses the daily…
Abstract
Purpose
The purpose of this paper is to examine the pricing efficiency of the Malaysian crude palm oil (CPO) market before and after the structural break. This study uses the daily closing price of CPO and CPO futures (CPO-F) for the period ranging from June 2009 to August 2016 while taking structural breaks into account.
Design/methodology/approach
In this study, symmetric and asymmetric long-run relationship model are employed, such as the Johansen cointegration, VECM, TAR and M-TAR models, to examine the impact of structural breaks on the pricing efficiency of the Malaysian CPO market.
Findings
This finding establish that Malaysian CPO price is efficient before and after the structural break. The consistent efficiency of the Malaysian CPO market supports the trading of the CPO-F in Globex and the use of Malaysian CPO pricing as the reference price. This study establishes that a structural break in the Malaysian CPO price series does not affect the pricing efficiency of the market.
Research limitations/implications
This study shows that using Malaysian CPO price as a reference price is sustainable even in the event of a structural break. Therefore, market participants in the Malaysian CPO market have less to worry about the CPO price as it supports the weak form of efficiency. Price deviation in the short run may not lead to arbitrage profit as transaction cost may not be covered.
Practical implications
This study implies that if there is distortion in the price due to shocks, both manufacturers and producers need to hedge their positions in the futures market (subject to their positions in the underlying market). By entering into the futures market, pricing is locked in advance; hence, price risk is eliminated. Such a distortion could also affect the efficiency of the CPO price, therefore this study also addresses the issue of efficiency of the local CPO market.
Originality/value
Previous studies on Malaysian CPO pricing efficiency did not take the effect of structural break into consideration, making it difficult for these studies to show consistency in the efficiency of the Malaysian CPO market.
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Qing Zhu, Yiqiong Wu, Yuze Li, Jing Han and Xiaoyang Zhou
Library intelligence institutions, which are a kind of traditional knowledge management organization, are at the frontline of the big data revolution, in which the use of…
Abstract
Purpose
Library intelligence institutions, which are a kind of traditional knowledge management organization, are at the frontline of the big data revolution, in which the use of unstructured data has become a modern knowledge management resource. The paper aims to discuss this issue.
Design/methodology/approach
This research combined theme logic structure (TLS), artificial neural network (ANN), and ensemble empirical mode decomposition (EEMD) to transform unstructured data into a signal-wave to examine the research characteristics.
Findings
Research characteristics have a vital effect on knowledge management activities and management behavior through concentration and relaxation, and ultimately form a quasi-periodic evolution. Knowledge management should actively control the evolution of the research characteristics because the natural development of six to nine years was found to be difficult to plot.
Originality/value
Periodic evaluation using TLS-ANN-EEMD gives insights into journal evolution and allows journal managers and contributors to follow the intrinsic mode functions and predict the journal research characteristics tendencies.
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Pham Dinh Long, Bui Quang Hien and Pham Thi Bich Ngoc
The paper aims to shed light on the effects of inflation on gold price and exchange rate in Vietnam by using time-varying cointegration.
Abstract
Purpose
The paper aims to shed light on the effects of inflation on gold price and exchange rate in Vietnam by using time-varying cointegration.
Design/methodology/approach
Using cointegration techniques with fixed coefficient and time-varying coefficient, the study exams the impacts of inflation in models and compares the results through coefficient estimates.
Findings
A significant inflation impacts are found with the time-varying cointegration but not with the fixed coefficient cointegration models. Moreover, monetary policy affects exchange rate not only directly via its instruments as money supply and interest rate but indirectly via inflation. Also, interest rate is one of the determinants of gold price.
Originality/value
To the best of our knowledge, this paper is the first to use time-varying cointegration to analyze the impact of inflation on the gold price and exchange rate in Vietnam. Gold price and exchange rate fluctuations are always the essential and striking issues, which have been emphasized by economists and policymakers. In macroeconometric researches, cointegration models are often used to analyze the long-term relations between variables. Attentionally, applied models show a limitation when estimating coefficients are fixed. This characteristic might not really match with the data properties and the variation of the economy. Currently, time-varying cointegration models are emerging method to solve the above issue.
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Emmanuel Asafo-Adjei, Anokye M. Adam, Peterson Owusu Junior, Clement Lamboi Arthur and Baba Adibura Seidu
This study investigates information flow of market constituents and global indices at multi-frequencies.
Abstract
Purpose
This study investigates information flow of market constituents and global indices at multi-frequencies.
Design/methodology/approach
The study’s findings were obtained using the Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (I-CEEMDAN)-based cluster analysis executed for Rényi effective transfer entropy (RETE).
Findings
The authors find that significant negative information flows among sustainability equities (SEs) and conventional equities (CEs) at most multi-frequencies, which exacerbates diversification benefits. The information flows are mostly bi-directional, highlighting the importance of stock markets' constituents and their global indices in portfolio construction.
Research limitations/implications
The authors advocate that both SE and CE markets are mostly heterogeneous, revealing some levels of markets inefficiencies.
Originality/value
The empirical literature on CEs is replete with several dynamics, revealing their returns behaviour for diversification purposes, leaving very little to know about the returns behaviour of SE. Wherein, an avalanche of several initiatives on Corporate Social Responsibility (CSR) enjoin firms to operate socially responsible, but investors need to have a clear reason to remain sustainable into the foreseeable future period. Accordingly, the humble desire of investors is the formation of a well-diversified portfolio and would highly demand stocks to the extent that they form a reliable portfolio, especially, amid SEs and/or CEs.
研究目的
本研究擬審查多頻率的及為市場成份的信息流和全球指數。
研究設計/方法/理念
研究人員使用基於改良完全集合經驗模態分解自適應噪聲(Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise)的聚類分析法,取得Rényi有效轉移熵,藉此得到研究結果。
研究結果
我們發現、於大部份多頻率,在持續性股票和傳統股票間有顯著的負信息流動,這會增加多樣化的益處。這些信息流大部份是雙向的,這強調了股票市場成份及其全球指數在構建投資組合上的重要性。
研究的局限/啟示
我們認為持續性股票市場和傳統股票市場大多為異質市場,這顯示了市場的低效率,而且這低效率的程度頗大。
研究的原創性/價值
關於傳統股票的實證性文獻裡是充滿了變革動力的,這顯示了它們以多樣化為目的的回報行為。這使我們對關於持續性股票的回報行為、認識變得實在太少了。於此,大量的企業社會責任的新措施不斷提醒各公司、要本著企業社會責任的理念去營運;但投資者需清晰明白他們為何需在可見的將來保持可持續性。因此,他們卑微的願望是一個較好的多樣化投資組合得以形成,故此他們高度要求股票要有組成可靠投資組合的性質和能力,特別是在持續性股票和/或傳統股票當中。
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Pham Dinh Long, Bui Quang Hien and Pham Thi Bich Ngoc
This study focuses on analyzing the relation between money supply, inflation and output in Vietnam and China.
Abstract
Purpose
This study focuses on analyzing the relation between money supply, inflation and output in Vietnam and China.
Design/methodology/approach
Using the error correction model and the vector autoregression model (ECM and VAR) and the canonical cointegration regression (CCR), the study shows similar patterns of these variable relations between the two economies.
Findings
The study points out the difference in the estimated coefficients between the two countries with different economic scales. While inflation in Vietnam is strongly influenced by expected inflation and output growth, inflation in China is strongly influenced by money supply growth and output growth.
Originality/value
To the best of the authors’ knowledge, this is the first empirical and comparative research on the relation between money supply, inflation and output for Vietnam and China. The study demonstrates that the relationship between money supply, inflation and output is still true in case of transition economies.
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Abdelhadi Ifleh and Mounime El Kabbouri
The prediction of stock market (SM) indices is a fascinating task. An in-depth analysis in this field can provide valuable information to investors, traders and policy makers in…
Abstract
Purpose
The prediction of stock market (SM) indices is a fascinating task. An in-depth analysis in this field can provide valuable information to investors, traders and policy makers in attractive SMs. This article aims to apply a correlation feature selection model to identify important technical indicators (TIs), which are combined with multiple deep learning (DL) algorithms for forecasting SM indices.
Design/methodology/approach
The methodology involves using a correlation feature selection model to select the most relevant features. These features are then used to predict the fluctuations of six markets using various DL algorithms, and the results are compared with predictions made using all features by using a range of performance measures.
Findings
The experimental results show that the combination of TIs selected through correlation and Artificial Neural Network (ANN) provides good results in the MADEX market. The combination of selected indicators and Convolutional Neural Network (CNN) in the NASDAQ 100 market outperforms all other combinations of variables and models. In other markets, the combination of all variables with ANN provides the best results.
Originality/value
This article makes several significant contributions, including the use of a correlation feature selection model to select pertinent variables, comparison between multiple DL algorithms (ANN, CNN and Long-Short-Term Memory (LSTM)), combining selected variables with algorithms to improve predictions, evaluation of the suggested model on six datasets (MASI, MADEX, FTSE 100, SP500, NASDAQ 100 and EGX 30) and application of various performance measures (Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error(RMSE), Mean Squared Logarithmic Error (MSLE) and Root Mean Squared Logarithmic Error (RMSLE)).
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Arash Ahmadi, Amirhossein Taghipour, Marc Fetscherin and Siriwan Ieamsom
The purpose of this paper is to compare two brand posts with the different content created by a celebrity (emotional content vs rational content) on Instagram and their effects on…
Abstract
Purpose
The purpose of this paper is to compare two brand posts with the different content created by a celebrity (emotional content vs rational content) on Instagram and their effects on users’ willingness to use offline word of mouth (WOM) and electronic WOM (eWOM). The research model also consists of product involvement as the moderator.
Design/methodology/approach
Based on the results of the pretest stages, the study included two stimuli, and respondents were presented with two different brand posts (i.e. two manipulated pictures and texts on the Instagram frame). A two-group comparison (positive emotional brand post vs negative rational brand post) between-subjects experiment (n = 214) was conducted.
Findings
The results indicate that WOM and eWOM are more affected by a celebrity’s emotional brand post than a celebrity’s rational brand post. Furthermore, both types of WOM are more affected through high product involvement enhanced by a celebrity’s rational brand post than through high product involvement boosted by a celebrity’s emotional brand post.
Practical implications
Managerial implications for social media marketing and Instagram celebrity-based branding are provided. Practical implications are also provided in the form of evidence of how the impacts of two different brand posts on positive offline WOM and eWOM are affected differently through the moderation of product involvement.
Originality/value
The research argues for theoretical implications for the marketing literature on celebrity endorsements. The study also tests one moderating effect on the relationship between brand post content and WOM and eWOM.
Propósito
El propósito de este trabajo es comparar dos posts de marcas con diferente contenido creado por una celebridad (contenido emocional vs. contenido racional) en Instagram y sus efectos en la disposición de los usuarios a utilizar WOM y eWOM. El modelo de investigación también incluye la implicación del producto como moderador.
Diseño
Sobre la base de los resultados de las etapas de prueba previa, el estudio incluyó dos estímulos, y a los encuestados se les presentaron dos publicaciones de marca diferentes (es decir, dos imágenes y textos manipulados en el marco de Instagram). Se realizó un experimento entre sujetos (n = 214) de comparación de dos grupos (post de marca emocional positivo frente a post de marca racional negativo).
Conclusiones
Los resultados indican que el WOM y el eWOM se ven más afectados por el post emocional de la marca de un famoso que por el post racional de la marca de un famoso. Además, ambos tipos de boca a boca se ven más afectados por la alta implicación del producto potenciada por el post racional de la marca de un famoso que por la alta implicación del producto potenciada por el post emocional de la marca de un famoso.
Implicaciones prácticas
se ofrecen implicaciones de gestión para el marketing en las redes sociales y el branding basado en los famosos de Instagram. Las implicaciones prácticas también se proporcionan en forma de evidencia de cómo los impactos de dos publicaciones de marca diferentes en el WOM positivo y el eWOM se ven afectados de manera diferente a través de la moderación de la implicación con el producto.
Originalidad
La investigación aporta implicaciones teóricas para la literatura de marketing sobre el patrocinio de los famosos. El estudio también prueba un efecto moderador en la relación entre el contenido de los posts de marca y el WOM y el eWOM.
目的
本文旨在比较Instagram上两个由名人创作的不同内容的品牌帖子(感性内容Vs.理性内容), 以及其对用户使用线下口碑(WOM)和电子口碑(eWOM)意愿的影响。该研究模型还包括产品涉入作为调节变量。
设计/方法/途径-基于前测阶段的结果
研究包括两个刺激物, 受访者被呈现两个不同的品牌帖子(即Instagram框架上的两个被操纵的图片和文字)。进行了两组比较(积极感性品牌帖子vs. 消极理性品牌帖子) 的主体间实验 (n = 214) 。
研究结果
结果表明, 与名人的理性品牌帖子相比, WOM和eWOM受名人感性品牌帖子的影响更大。此外, 这两种类型的口碑通过名人的理性品牌帖子所增强的高产品涉入度比通过名人的感性品牌帖子所增强的高产品涉入度受到的影响更大。
实践意义
提供了对社交媒体营销和Instagram名人品牌的管理意义。研究还提供了实际意义, 证明了两种不同的品牌帖子对积极的WOM和eWOM的影响是如何通过产品涉入度的调节而不同的。
原创性/价值
该研究论证了名人代言的营销文献的理论意义。该研究还检验了品牌帖子内容与WOM和eWOM之间关系的调节效应。
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Chiara Natalie Focacci and François Pichault
According to Sen's theoretical framework of capability (1985), individuals reach their full potential once they have the freedom, intended as the set of functionings at their…
Abstract
Purpose
According to Sen's theoretical framework of capability (1985), individuals reach their full potential once they have the freedom, intended as the set of functionings at their disposal, to do so. However, many critiques have been developed against the lack of embeddedness of the capability approach in social and political relations and structures. In this article, the authors investigate the influence of three institutional contexts (Belgium, the Netherlands and France) on the respective work-related functionings of self-employed and regular workers, with a focus on human capital investment and institutional support offered to them.
Design/methodology/approach
Data from the European Working Conditions Survey (EWCS) are used to highlight similarities and differences in building work-related functionings for regular and self-employed workers. A regression analysis is provided at the country level.
Findings
In the three labour markets, the authors find that the building of work-related functionings is more successful for regular employees, especially as regards institutional support. Self-employed workers, on the other hand, need to rely on their individual capability as regards employment protection and human capital investment. However, the authors find interesting differences between the three institutional contexts. In both Belgium and France, self-employed workers are subject to higher instability in terms of changes in salary and hours worked, whereas atypical work is better positioned in the Dutch labour market. The Netherlands is also characterised by a less significant gap between regular and self-employed workers with respect to participation in training.
Originality/value
In this article, the authors contextualise Sen's (1985) theoretical framework by taking into account the institutional differences of labour markets. In particular, the authors provide a novel application of his capability approach to regular and self-employed workers in an economically relevant European area.
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Abbas Ali Chandio, Yuansheng Jiang, Abdul Rehman and Abdul Rauf
The climate change effects on agricultural output in different regions of the world and have been debated in the literature of emerging economies. Recently, the agriculture sector…
Abstract
Purpose
The climate change effects on agricultural output in different regions of the world and have been debated in the literature of emerging economies. Recently, the agriculture sector has influenced globally through climate change and also hurts all sectors of economies. This study aims to examine and explore the impact of global climate change on agricultural output in China over the period of 1982-2014.
Design/methodology/approach
Different unit root tests including augmented Dickey–Fuller, Phillips–Perron and Kwiatkowski, Phillips, Schmidt and Shin are used to check the order of integration among the study variables. The autoregressive distributed lag (ARDL) bounds testing approach to cointegration and the Johansen cointegration test are applied to assess the association among the study variables with the evidence of long-run and short-run analysis.
Findings
Unit root test estimations confirm that all variables are stationary at the combination of I(0) and I(1). The results show that CO2 emissions have a significant effect on agricultural output in both long-run and short-run analyses, while temperature and rainfall have a negative effect on agricultural output in the long-run. Among other determinants, the land area under cereal crops, fertilizer consumption, and energy consumption have a positive and significant association with agricultural output in both long-run and short-run analysis. The estimated coefficient of the error correction term is also highly significant.
Research limitations/implications
China’s population is multiplying, and in the coming decades, the country will face food safety and security challenges. Possible initiatives are needed to configure the Chinese Government to cope with the adverse effects of climate change on agriculture and ensure adequate food for the growing population. In concise, the analysis specifies that legislators and policy experts should spot that the climate change would transmute the total output factors, accordingly a county or regional specific and crop-specific total factor of production pattern adaptation is indorsed.
Originality/value
The present empirical study is the first, to the best of the authors’ knowledge, to investigate the impact of global climate change on agricultural output in China by using ARDL bounds testing approach to cointegration and Johansen cointegration test.
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