Advances in Decision Sciences

Intelligent transportation system is more and more important in smart cities, especially in developed countries.In Taichung City, Taiwan, buses are the major form of public transportation.When a passenger boards and alights from a bus, they need to swipe their electronic ticket.In this article, the electronic ticket transaction records were used for many analytical purposes, such as understanding passenger behaviour/patterns and finding the coefficient of variation for some bus routes, and even used for an online analysis website database.These analytical results may find the pressure point and gap of bus supply and demand, and make the Taichung City Government enhance intelligent transportation system performance and design more suitable public transportation policy in the future.

Michael Mcaleer

Cheng-Yuan Ho

Ira Puspitasari

Intelligent Transportation Systems in Smart Cities Application to Taichung City Bus, Taiwan

智能交通系统在智慧城市中的应用：以台湾台中市公交车为例

The paper investigates the nonlinear dependencies and interconnectedness of macroeconomic and financial uncertainties in 11 developed countries. The study applies structure learning with weakly additive noise model using Directed Acyclic Graphs (DAGs) to data covering 1997:01 to 2017:09. The results indicate the existence of nonlinear dependencies of macroeconomic and financial uncertainties among the 11 advanced economies considered. That an increased macroeconomic and financial uncertainty in a particular economy affects other economies. Overall, Spain happens to be a major receiver of macroeconomic and financial uncertainties from the other developed economies. The findings call for macroprudential policies to ensure stability in these economies.

Aviral Kumar Tiwari

Micheal Kofi Boachie

Rangan Gupta

Network Analysis of Economic and Financial Uncertainties in Advanced Economies: Evidence from Graph-Theory

先进经济体经济与金融不确定性网络分析：基于图论的证据

The paper investigates the nonlinear dependencies and interconnectedness of macroeconomic and financial uncertainties in 11 developed countries.The study applies structure learning with weakly additive noise model using Directed Acyclic Graphs (DAGs) to data covering 1997:01 to 2017:09.The results indicate the existence of nonlinear dependencies of macroeconomic and financial uncertainties among the 11 advanced economies considered.That an increased macroeconomic and financial uncertainty in a particular economy affects other economies.Overall, Spain happens to be a major receiver of macroeconomic and financial uncertainties from the other developed economies.The findings call for macroprudential policies to ensure stability in these economies.

Aviral Tiwari

The paper presents a novel analysis of the US spread of the SARS-CoV-2 causes the COVID-19 disease across 50 States and 2 Territories.Simple crosssectional regressions are able to predict quite accurately both the total number of cases and deaths, which cast doubt on measures aimed at controlling the disease via lockdowns.Population density appears to play a signicant role in transmission.This throws in sharp relief the relative eectiveness of the attempts to risk manage the spread of the virus by 'attening the curve' (aka planking the curve) of the speed of transmission, and the ecacy of lockdowns in terms of the spread of the disease and death rates.The algorithmic techniques, results and analysis presented in the paper should prove useful to the medical and health professions, science advisers, and risk management and decision making of healthcare by state, regional and national governments in all countries.

David Allen

Predicting COVID-19 Cases and Deaths in the USA from Tests and State Populations

预测美国COVID-19病例和死亡人数：基于检测和各州人口数据

Social media is emerging as a main communication channel in business and society.People use it in their daily life to share information with their friends and family.In this paper, we attempt to analyze Tweets data for understanding the relationship of social media and stock market as a case study.Data is collected more than 1.6 million tweets and RapidMiner software is used for their analysis.Our result shows that social media has relation with stock mark.It means that social media has an impact on financial market.However, there are some limitations to use social media for better decision making in investment.In a future paper, we need to develop more sophisticated analytics model and integrate different types of data to produce better results.

Hak Kim

Social Media and Analytics: A Case Study of Tweets Data

社交媒体与分析：推特数据案例研究

Purpose: This study investigates the impact of financial liberalization on firm risk and examines the relationship between liberalization and firm risk from a global perspective by using three different measures of financial liberalization to analyze the entire sample as well as four different subsamples by using firms from different countries as our samples. Design/methodology/approach: We use the pooled ordinary least squared (OLS) regression model and a series of robustness checks to conduct our analysis by using our sample that includes 63 countries, 18,317 firms, and 161,317 firm-year observations from 1991–2017. Findings: Our empirical analysis concludes that financial liberalization has a significantly negative effect on firm risk. Following a series of robustness checks, we find that the results remain unchanged after categorizing our sample into subsamples according to the level of financial liberalization, controlling for changes in the economic development status, and dividing the sample periods based on the time of the financial crises. Moreover, the quantile regression reveals the asymmetric effect of financial liberalization on firm risk. The findings of our study contribute to a clear perception of how financial liberalization affects firm risk. Originality/value: In this paper, we use the data from multination to know clearly how different countries respond to the financial liberalization policies which may affect the firm risk. Then, we conduct a series of robustness checks to make sure that our result is robust. According to the result, we can see that the negative significant relationship between financial liberalization and firm risk remains unchanged after categorizing our sample into subsamples according to the level of financial liberalization, controlling for changes in the economic development status, and dividing the sample periods based on the time of the financial crises. Furthermore, the quantile regression reveals the asymmetric effect of financial liberalization on firm risk. We note that our findings are new in the literature. Practical Implication: The findings of our paper give suggestions to multinational corporations regarding the proper management of corporate finance in response to adjustments in financial liberalization policies.

None Chong-Chuo Chang

Lin Lin

Yu-Cheng Chang

Kun-Zhan Hsu

Impact of Financial Liberalization on Firm Risk

金融自由化对企业风险的影响

Purpose: The objective is to employ a stochastic model to develop a new technical analysis indicator that could compute the variation of any index. We demonstrate the superiority and applicability of our proposed model and show that our proposed indicator could help investors and market analysts to anticipate the market trend in the short term and make better trading decisions by using our proposed model to analyze the variation of the NASDAQ Composite Index (IXIC). Design/methodology/approach: This study uses a stochastic process without mean-reverting property to develop a stochastic model that could compute the variation of any index. To show the superiority and applicability of our proposed model in computing the variation of any index, we employ our proposed model to compute the daily closing values of the IXIC over 10 years and derive the variation of the IXIC index. Findings: Our findings indicate that, based on the mean absolute percentage error, the calibrated model we proposed provides a more accurate estimate of the short-term index that outperforms both the simple moving average and the MACD in predictive accuracy. It delivers a robust anticipation of the overall market trend by offering a 95% confidence interval for the value of the composite NASDAQ index. Practical Implications: Our proposed indicator could help investors and market analysts to anticipate the market trend in the short term and make better trading decisions. Our proposed model provides market analysts with a forecasting tool by using our proposed technical analysis indicator to anticipate the market trend, which outperforms some traditional indicators of technical analysis, including Simple Moving Averages and Moving Average Convergence Divergence. Originality/value: Our approach, results, and conclusions are original and new in the literature. Our proposed model is a new technical indicator for predicting any index based on a stochastic process, which has been found to outperform some classical indicators. This research makes significant contributions to the field of decision sciences because the indicator we have developed plays a crucial role. It enables better buying and selling decisions based on market trend predictions estimated by using our proposed model. In this way, the indicator offers added value to professionals in making investment decisions. The results of this research work contribute to the development of new technical analysis indicators. Here, the IXIC index is an example, the use of this indicator is wider and could concern any stock market index and any share. So, this work enriches the literature and opens up new avenues for any researcher who wants to use stochastic processes to develop new technical indicators for different financial assets.

Mohammed Bouasabah

Oshamah Ibrahim Khalaf

A Technical Indicator for a Short-term Trading Decision in the NASDAQ Market

纳斯达克市场短期交易决策的技术指标

Purpose: The study aims to investigate the role of different brand communication types on customer commitment and the impact of perceived fit on the bond between brand communication and brand trust in the context of China's international schools. This work offers profound insights into brand trust and communication strategies for brand decision-makers which directly shape customer commitment, a key aspect of the decision-making process. Design/methodology/approach: Employing quantitative analysis, this study surveyed 318 parents of students from 6 international schools in China, constructing an SEM-PLS model to validate the influences of brand communication, perception of fit, and brand trust on customer commitment. Findings: The research uncovered that controllable brand communication positively affects customer commitment via the mechanism of brand trust, while uncontrollable brand communication does not directly influence affective commitment. The mediation role of brand trust and affective commitment between brand communication and sustained commitment is observed. Perceived fit serves as a moderator in the relationship between brand communication and brand trust. Practical Implications: Our findings empirically unravel the core determinants for the future development of international schools in China. Originality/value: What sets this study apart is its empirical focus on China's international schools sector, an area not thoroughly explored in the existing literature. It bolsters the extant knowledge of brand relationship marketing, providing comprehensive insights into the interplay of brand communication, brand trust, and customer commitment. This paper emphasizes the vitality of effective brand management for gaining a competitive edge and achieving customer fit in the modern market, thereby offering invaluable implications for decision-makers in making scientifically informed brand management decisions.

Xiuqun Chen

Shun-Chi Yu

Xuemei Sun

Dan Wang

Investigating the Influence of Brand Communication and Brand Trust on Customer Commitment: An Examination from the Perspective of Customer Perception

探究品牌传播与品牌信任对客户承诺的影响：基于客户感知视角的考察

Objective: This study investigates the influence of board ownership structure on firm value and the management of excessive cash holdings.Methods: Data from the financial statements of 72 Pakistani firms were collected and analyzed using a Fixed Effect Model (FEM). Findings:The statistical analysis reveals a significant correlation between the board ownership structure and firm value, emphasizing the pivotal role of efficient management in enhancing firm value and optimizing the utilization of excess cash holdings.The study also demonstrates the significance of the coefficient of determination about board size and firm value.Implications: Based on the findings, we recommend that companies actively promote diversity among board members, encompassing not only in terms of gender, age, and nationality but also in knowledge, skills, and information.Such diversity plays a crucial role in ensuring compliance with good corporate governance mechanisms and governance codes, offering valuable insights for firm managers seeking to optimize their firm's value.Additionally, we suggest that firms consider the sensitivity of their board ownership structure when making decisions regarding excessive cash holdings and firm value.This study's focus on board ownership structure, firm value, and cash holdings in Pakistan provides valuable insights that can inform decision-making theory, corporate governance decisions, and policy discussions, making it relevant to the broader field of decision sciences.Novelty: While the study acknowledges the well-explored relationship between corporate governance and firm performance, it focuses explicitly on the impact of board ownership structure, highlighting the significance of understanding how the composition of boards, including ownership patterns, influences firm value and financial practices.

Mosab I. Tabash

Adel Ahmed

Linda Nalini Daniel

Yasmeen Elsantil

Impact of Board Ownership Structure on Firm Value and Excessive Cash Holdings: Evidence from Pakistan

董事会所有权结构对企业价值和超额现金持有的影响：来自巴基斯坦的证据

Objective: This study investigates the impact of the General Election 2018 on the stock prices of firms listed on the Pakistan Stock Exchange (PSX). Methodology:A random sample of 50 firms from the PSX was selected to analyze the effects of this political event.The research timeline spans 100 days before and 100 days after the election, allowing for a comprehensive examination of stock price dynamics.To conduct the analysis, a fixed effect model was employed for regression analysis. Results:The results of this study indicate a noteworthy negative response in the stock prices of companies listed on the PSX following the General Election 2018.This adverse impact can be attributed to the prevailing investor insecurity regarding the performance of these companies, which, in turn, has reduced interest in equity securities.Consequently, the stock performance of listed companies has declined during the specified time frame. Implications:The empirical analysis presented in this research sheds light on the correlation between political events and stock prices and offers valuable insights for formulating equity investment and stock management policies.This study, therefore, serves as a vital contribution to the existing literature by providing innovative empirical evidence on the intricate relationship between political events, investor sentiment, and stock prices in the specific context of Pakistan's General Election 2018.Novelty: It offers a deeper understanding of how political dynamics affect the financial markets and the implications for investors and policymakers.

Musla Valappil

Uzma Iqbal

Umar Farooq

The Impact of General Election 2018 on Stock Prices: Evidence from Emerging Economy

2018年大选对股票价格的影响：来自新兴经济体的证据

ISSN	2090-3359, 2090-3367
h-index	20

涉及主题	经济数学计算机科学业务统计工程类生物计量经济学物理哲学财务政治学法学人工智能机器学习量子力学程序设计语言医学
出版信息	出版商: Asia University，出版周期: ，期刊类型: journal，开源期刊: 否
基本数据	创刊年份: 2010，原创研究文献占比: 0.00%，自引率:N.A.， Gold OA占比: 0.00%
平均审稿周期	网友分享经验：29 Weeks

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Intelligent Transportation Systems in Smart Cities Application to Taichung City Bus, Taiwan

Network Analysis of Economic and Financial Uncertainties in Advanced Economies: Evidence from Graph-Theory

Network Analysis of Economic and Financial Uncertainties in Advanced Economies: Evidence from Graph-Theory

Predicting COVID-19 Cases and Deaths in the USA from Tests and State Populations

Social Media and Analytics: A Case Study of Tweets Data

Impact of Financial Liberalization on Firm Risk

A Technical Indicator for a Short-term Trading Decision in the NASDAQ Market

Investigating the Influence of Brand Communication and Brand Trust on Customer Commitment: An Examination from the Perspective of Customer Perception

Impact of Board Ownership Structure on Firm Value and Excessive Cash Holdings: Evidence from Pakistan

The Impact of General Election 2018 on Stock Prices: Evidence from Emerging Economy