Using Google Trends and Baidu Index to analyze the impacts of disaster events on company stock prices

2019 ◽  
Vol 120 (2) ◽  
pp. 350-365 ◽  
Author(s):  
Ying Liu ◽  
Geng Peng ◽  
Lanyi Hu ◽  
Jichang Dong ◽  
Qingqing Zhang

Purpose With the ascendance of information technology, particularly through the internet, external information sources and their impacts can be readily transferred to influence the performance of financial markets within a short period of time. The purpose of this paper is to investigate how incidents affect stock prices and volatility using vector error correction and autoregressive-generalized auto regressive conditional Heteroskedasticity models, respectively. Design/methodology/approach To characterize the investors’ responses to incidents, the authors introduce indices derived using search volumes from Google Trends and the Baidu Index. Findings The empirical results indicate that an outbreak of disasters can increase volatility temporarily, and exert significant negative effects on stock prices in a relatively long time. In addition, indices derived from different search engines show differentiation, with the Google Trends search index mainly representing international investors and appearing more significant and persistent. Originality/value This study contributes to the existing literature by incorporating open-source data to analyze how catastrophic events affect financial markets and effect persistence.

2019 ◽  
Vol 26 (2) ◽  
pp. 464-476 ◽  
Author(s):  
Mehmet Eryigit

Purpose Availability of accurate and reliable information in financial markets helps investors make well-informed decisions on capital allocations which is beneficial for long-term economic growth. In this regards, the role of auditing firms that inspect the financial statements of the publicly traded companies in sound operation of financial markets has been increasing. The Capital Market Board of Turkey (CMBT) has the task and responsibility of investigating fraudulent information disseminated by the firms whose stocks are traded in Borsa Istanbul. The investigations can lead to monetary penalties if fraud is proven and the results are published by CMBT in its weekly bulletin. The present study aims to examine the effect of announcements of financial irregularities of companies in CMBT Bulletin on the performance of the relevant company stock in the short term. Design/methodology/approach This study uses abnormal return, cumulative abnormal return and cumulative average abnormal return as metrics and parametric, as well as non-parametric tests to ascertain whether the announcements of financial irregularities in company operations have any statistically significant effect on the return of its stock. Findings The results indicate that publication of the financial penalty news by CMBT in its bulletin has almost no statistically significant influence on the performance of the relevant companies’ stock in Borsa Istanbul. The findings indicate that either the investors in this particular markets do not consider such news relevant to long-term success of the firm or the announcement does not provide any new information and penalties have been priced into the stock before the announcement in the bulletin. Originality/value In literature there is no more research about the effect of the announcements of administrative monetary penalties and crime complaints on the stock returns.


2017 ◽  
Vol 22 (43) ◽  
pp. 207-223 ◽  
Author(s):  
Júlio Lobão ◽  
Luís Pacheco ◽  
Carlos Pereira

Purpose People often face constraints such as a lack of time or information in taking decisions, which leads them to use heuristics. In these situations, fast and frugal rules may be useful for making adaptive decisions with fewer resources, even if it leads to suboptimal choices. When applied to financial markets, the recognition heuristic predicts that investors acquire the stocks that they are aware of, thereby inflating the price of the most recognized stocks. This paper aims to study the profitability against the market of the most recognized stocks in Europe. Design/methodology/approach In this paper, the authors perform a survey and use Google Trends to study the profitability against the market of the most recognized stocks in Europe. Findings The authors conclude that a recognition heuristic portfolio yields poorer returns than a market portfolio. In contrast, from the data collected on Google Trends, weak evidence was found that strong increases in companies monthly search volumes may lead to abnormal returns in the following month. Research limitations/implications The applied investment strategy does not account for transaction costs, which may jeopardize its profitability given the fact that it is necessary to revise the portfolio on a monthly basis. Despite the results obtained, they are useful to understanding the performance of recognition heuristic strategies over a comprehensive time horizon, and it would be interesting to depict its viability during different market conditions. This analysis could provide additional information about a preferable scenario for employing our strategies and, ultimately, enhance the profitability of recognition heuristic strategies. Practical implications Through the exhaustive analysis performed here on the recognition heuristic in the European stock market, it is possible to conclude that no evidence was found for the viability of exploring this type of strategy. In fact, the investors would always gain better returns when adopting a passive investment strategy. Therefore, it would be wise to assume that the European market presents at least a degree of efficiency where no investment would yield abnormal returns following the recognition heuristic. Originality/value The main objective of this paper is to study the performance of the recognition heuristic in the financial markets and to contribute to the knowledge in this field. Although many authors have already studied this heuristic when applied to financial markets, there is a lack of consensus in the literature.


2016 ◽  
Vol 43 (5) ◽  
pp. 678-698 ◽  
Author(s):  
Zekeriya Yildirim ◽  
Mehmet Ivrendi

Purpose Recent turbulence in global financial markets implies that emerging economies are likely to soon enter a new era with greater pressure for currency depreciation and capital outflows. This will likely bring challenges, including macroeconomic instability and inflationary pressures due to potential rapid depreciation. In this context, certain key questions about emerging economies have become focal points of discussion in political and academic spheres: what are the effects of exchange rate depreciation on economic activity? Does exchange rate depreciation create inflationary pressure? Finding answers to these questions is critical for policymakers and financial market participants. As such, the purpose of this paper is to shed light on these questions and thus provides guidance on mitigating the negative impacts of shocks in four fast-growing emerging economies. Design/methodology/approach The authors use a vector autoregression model with sign restrictions to examine the dynamic effects of exchange rate movements on fundamental macroeconomic indicators for four fast-growing countries, namely, Brazil, Turkey, Russia, and South Africa. Following Berument et al. (2012a), Ncube and Ndou (2013), Bjørnland and Halvorsen (2013), and An et al. (2014), the authors adopt the sign restriction methodology to identify exchange rate shocks alongside other macroeconomic shocks (monetary policy and productivity shocks) leading to exchange rate fluctuations. Findings The results show that exchange rate depreciation typically generates a deep recession and high inflation while improving the trade balance in the four emerging economies. This indicates that depreciation has strong “stagflationary” effects, which are transmitted to the macroeconomy primarily via supply-side channels, especially through the cost of import. Furthermore, the authors find that monetary policy reacts immediately to a domestic currency depreciation in all four emerging countries. Practical implications The results imply that these countries’ monetary policies are not and cannot be neutral to exchange rate shocks. However, in these import-dependent countries, monetary tightening (i.e. rate hikes in response to an exchange rate shock) plays a limited role in mitigating the negative effects of depreciation on inflation and economic activity due to the presence of a dominant supply-side channel. In this framework, policymakers should pay greater attention to structural reforms that aim to reduce import dependency. These reforms may increase the effectiveness of domestic monetary policy in mitigating the negative effects of external shocks. Originality/value This paper provides a useful perspective for policymakers designing economic interventions to mitigate the adverse effects of exchange rate depreciation and to those who borrow or lend in domestic or international financial markets.


2015 ◽  
Vol 9 (3) ◽  
pp. 295-310 ◽  
Author(s):  
Shou-Lin Yang ◽  
Yung-Ming Shiu ◽  
Tsung-Chi Liu

Purpose – The purpose of this paper is to re-examine the statement of Peloza (2006) that enterprise corporate social responsibility (CSR) investment provides a protection efficacy similar to insurance. Design/methodology/approach – This study uses the event study method and data from the 2008-2010 China listed company social responsibility report and the Taiwan Economic Journal. Findings – The authors find that the insurance-like effect of CSR investment also exists in China. Both short- and long-term CSR investments of Chinese companies provide this efficacy to corporate stock prices. The authors also find diminishing marginal insurance-like effects in China market. Originality/value – The CSR investment of firms in China can reduce company stock-price loss when negative events occur. The authors therefore obtain a better understanding of the value of enterprise CSR investment.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yunus Karaömer ◽  
Songül Kakilli Acaravcı

PurposeThis study aims to research how the outbreak of coronavirus disease 2019 (COVID-19) impacts the selected sector price indices in Borsa Istanbul (BIST), Turkey.Design/methodology/approachThe authors use the event study method because it is a useful method as stock prices and market instantly reflect the effect of such an unusual event. Data are retrieved from the https://www.investing.com/.FindingsThe authors find that selected sectors are impacted by the COVID-19 outbreak. The banking and transportation sectors, on the announcement of first death, were impacted negatively, while the telecommunication and food –beverage sectors were impacted positively. The transportation and banking sectors experience an obvious downturn after the spread of COVID-19, while the food–beverage and telecommunication sectors experience an obvious upturn after the spread of COVID-19. Besides, the most adversely impacted sector is banking.Originality/valueThis study bridges the research gap and adds significant insights to the existing literature. The main contribution of this study to the existing literature is the unexpected outbreak impacts on financial markets, especially on BIST. It is also expected that this study will make a significant contribution to analysts, researchers and policymakers.


2019 ◽  
Vol 11 (3) ◽  
pp. 338-367 ◽  
Author(s):  
Huiqiang Wang

Purpose Prior studies have paid close attention to the impact of political risk on financial markets. Following this strand of literature, this paper aims to focus on the causality link between political shocks and their impacts on emerging stock markets. Design/methodology/approach This paper highlights an innovative counterfactual model for political risk assessment. Based on a natural experiment, i.e. the Taiwan Strait Crisis in 1995-1996, this study utilizes one data-driven approach, e.g. the synthetic control methods (SCMs), to estimate causal impact of this political shock on Taiwan’s stock market. Findings Major findings in this study are consistent with existing literature on the price of political risk, e.g. political uncertainty commands a risk premium. The SCM estimations suggest that Taiwan’s stock prices dramatically underperformed its newly industrialized peers and other developed markets during the crisis. The SCM results are statistically significant and robust to various cross-validation tests. Research limitations/implications Findings in this study indicate that political risks could generate enormous impacts on emerging financial markets. In particular, political uncertainty following new geopolitical dynamics requires proper identification and assessment. Originality/value To the author’s knowledge, this paper is the first rigorous counterfactual study to the causality relationship between political uncertainty and stock prices in emerging markets. This paper is distinct from previous studies in applying a data-driven approach to combine the features of learning from others (cross-sectional) and learning from the past (time series).


2020 ◽  
Vol 33 (6) ◽  
pp. 1379-1394 ◽  
Author(s):  
John Fry ◽  
Jean-Philippe Serbera

PurposeThe authors develop new quantitative methods to estimate the level of speculation and long-term sustainability of Bitcoin and Blockchain.Design/methodology/approachThe authors explore the practical application of speculative bubble models to cryptocurrencies. They then show how the approach can be extended to provide estimated brand values using data from Google Trends.FindingsThe authors confirm previous findings of speculative bubbles in cryptocurrency markets. Relatedly, Google searches for cryptocurrencies seem to be primarily driven by recent price rises. Overall results are sufficient to question the long-term sustainability of Bitcoin with the suggestion that Ethereum, Bitcoin Cash and Ripple may all enjoy technical advantages relative to Bitcoin. Our results also demonstrate that Blockchain has a distinct value and identity beyond cryptocurrencies – providing foundational support for the second generation of academic work on Blockchain. However, a relatively low estimated long-term growth rate suggests that the benefits of Blockchain may take a long time to be fully realised.Originality/valueThe authors contribute to an emerging academic literature on Blockchain and to a more established literature exploring the use of Google data within business analytics. Their original contribution is to quantify the business value of Blockchain and related technologies using Google Trends


2019 ◽  
Vol 46 (2) ◽  
pp. 372-382 ◽  
Author(s):  
Nicholas Apergis

Purpose The purpose of this paper is to explore the direct and exclusive effects of this rather unconventional monetary policy on financial markets, economic activity and labor markets across the Eurozone. Design/methodology/approach Using a range of variables, the analysis employed the Markov-switching dynamic regression methodological approach. Findings The findings provided evidence in favor of the reduction of short- and log-term credit spreads, increased stock prices, improved market expectations, recovered labor market conditions and economic productivity, while the primary transmission channel of the quantitative easing policy is the expectations channel. Originality/value The novelties of this paper are twofold: it makes use of a wide data set to investigate the effect of economic and financial variables on productivity, labor markets, bond markets and equity markets in the Eurozone; and the analysis focuses on the direct effects of monetary base increases on the Eurozone economy, as well as on Eurozone financial markets.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Glenn Kit Foong Ho ◽  
Sirimon Treepongkaruna ◽  
Chaiyuth Padungsaksawasdi

PurposeThis paper examines whether short sellers aggravate volatility in the Australian stock market by using five different realized volatility (RV) measures during a more stable period.Design/methodology/approachThe authors develop a measure to capture the abnormal level of short selling for each stock and examine the bivariate and trivariate dynamic relationships between abnormal short selling and five volatility measures: the RV, continuous and jump components of RV, upside and downside volatilities.FindingsOverall, the findings indicate a weak association between abnormal short selling and volatility. Where the relationships are significant, the authors generally find that lagged abnormal short selling is negatively associated with both upside and downside volatilities. In general, short selling does not drive or amplify the decline in stock prices.Originality/valueThis paper contributes to existing literature in various aspects. First, the authors offer evidence on the relationship between abnormal short selling and volatility in a general market condition while existing studies often found mixed results of the effects of short selling on volatility around extreme events. Second, the authors add to the literature on the volume-volatility relation by introducing abnormal short selling. Although abnormal short volume does not supplant the number of trades in the volume-volatility relation, it has some incremental, albeit negative, effect on volatility. Finally, the study provides further evidence for the debate on the desirability of short sellers in financial markets.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Thibault Parmentier ◽  
Pr. Emmanuelle Reynaud

PurposeThis article wants to propose deeper insights and clarifications into the effects of organizational politics which have been at the center of many debates in decision-making literature. For a long time, the debate focused on the negative effects of organizational politics and how to avoid them. This article wants to explore the positive effects of organizational politics and see how this impacts the consensus process in teams moderated by organizational change.Design/methodology/approachThe article model and propositions are grounded in the organisational politics literature. The analysis builds on the “positive” politics literature which has been gaining steam in the last two decades and links this with the consensus literature.FindingsThe article proposes an integrated model which clearly shows how the three core concepts influence each other through the four proposed hypotheses. Organizational politics can help to create more consensus in a team decision-making process, and this can have a positive effect on team performance.Originality/valueThe article aims to expand insights of organizational politics on decision-making by putting the light on possible positive effects of organizational politics. The article addresses the theoretical gap of how organizational politics can impact the consensus process.


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