Google search intensity and its relationship with returns and trading volume of Japanese stocks

2014 ◽  
Vol 27 ◽  
pp. 1-18 ◽  
Author(s):  
Fumiko Takeda ◽  
Takumi Wakao
Keyword(s):  
Trading Volume ◽  
Search Intensity ◽  
Google Search

scholarly journals Google Search in Exchange Rate Models: Hype or Hope?

2021 ◽  
Vol 14 (11) ◽  
pp. 512
Author(s):  
Bodo Herzog ◽  
Lana dos dos Santos
Keyword(s):  
Exchange Rate ◽  
Panel Data ◽  
Exchange Rates ◽  
Trading Volume ◽  
Value Added ◽  
Online Search ◽  
Search Intensity ◽  
A Value ◽  
Exchange Rate Models ◽  
Google Search

This paper studies the power of online search intensity metrics, measured by Google, for examining and forecasting exchange rates. We use panel data consisting of quarterly time series from 2004 to 2018 and ten international countries with the highest currency trading volume. Newly, we include various Google search intensity metrics to our panel data. We find that online search improves the overall econometric models and fits. First, four out of ten search variables are robustly significant at one percent and enhance the macroeconomic exchange rate models. Second, country regressions corroborate the panel results, yet the predictive power of search intensity with regard to exchange rates vary by country. Third, we find higher prediction performance for our exchange rate models with search intensity, particularly in regard to the direction of the exchange rate. Overall, our approach reveals a value-added of search intensity in exchange rate models.

scholarly journals The Influence of Google Search Intensity on the Stability of the Indonesian Capital Market in the Perspective of the Defense Economy

2021 ◽  
Vol 04 (11) ◽  
Author(s):  
Darnis Darnis ◽  
Keyword(s):  
Capital Market ◽  
Trading Volume ◽  
Banking Sector ◽  
Sampling Technique ◽  
Volume Index ◽  
Search Intensity ◽  
Search Volume ◽  
Abnormal Trading Volume ◽  
The Stability ◽  
Google Search

This study aims to determine the Influence of Google Search Intensity on the Stability of the Indonesian Capital Market, as well as looking at the defense and security aspects, especially the economy. The research sample is the shares of the banking sector companies listed on the Indonesia Stock Exchange for the 2016-2018 period. The independent variable used in this study is the Abnormal Search Volume Index. The control variables used are Volatility, and Abnormal Trading Volume Lagged. The dependent variable used is Abnormal Trading Volume. The sampling method used in this study used a purposive sampling technique. Obtained the number of samples as many as 18 companies. The analysis technique used in this research is panel data regression. The results of this study indicate that the intensity of Google searches using the ASVI proxy has a significant positive effect on the stability of the stock represented by Abnormal Trading Volume. This illustrates that the use of Google search intensity data can be used as a reference in making defense policies against non-military threats, especially the stability of the Indonesian Capital Market.

Investor Pessimism and the German Stock Market: Exploring Google Search Queries

2019 ◽  
Vol 20 (1) ◽  
pp. 1-28 ◽  
Author(s):  
Thomas Dimpfl ◽  
Vladislav Kleiman
Keyword(s):  
Stock Market ◽  
Trading Volume ◽  
Explanatory Power ◽  
Investor Sentiment ◽  
Search Queries ◽  
Retail Investor ◽  
German Stock ◽  
Relationship Of ◽  
Google Search ◽  
German Stock Market

Abstract We analyze the relationship of retail investor sentiment and the German stock market by introducing four distinct investor pessimism indices (IPIs) based on selected aggregate Google search queries. We assess the predictive power of weekly changes in sentiment captured by the IPIs for contemporaneous and future DAX returns, volatility and trading volume. The indices are found to have individually varying, but overall remarkably high explanatory power. An increase in retail investor pessimism is accompanied by decreasing contemporaneous market returns and an increase in volatility and trading volume. Future returns tend to increase while future volatility and trading volume decrease. The outcome is in line with the conjecture of correction effects. Overall, the results are well in line with modern investor sentiment theory.

scholarly journals Trading Cryptocurrencies as a Pandemic Pastime: COVID-19 Lockdowns and Bitcoin Volume

Mathematics ◽  
2021 ◽  
Vol 9 (15) ◽  
pp. 1771
Author(s):  
Alexander Guzmán ◽  
Christian Pinto-Gutiérrez ◽  
María-Andrea Trujillo
Keyword(s):  
Time Series ◽  
Trading Volume ◽  
Econometric Models ◽  
Free Time ◽  
Individual Investors ◽  
Herding Behavior ◽  
Noise Trader ◽  
Using Data ◽  
Google Search ◽  
The Impact

This paper examines the impact of COVID-19 lockdowns on Bitcoin trading volume. Using data from Apple mobility trends and several time-series econometric models, we find that investors became active participants during the COVID-19 pandemic period and traded more bitcoins on days with low mobility associated with lockdown mandates. These results remain robust after controlling for stocks and gold returns, the VIX index, and the level of attention and sentiment toward Bitcoin, as measured by Google search frequencies and the tone of Tweets discussing Bitcoin. These results suggest that when individual investors have ample free time on their hands, they trade cryptocurrencies as a pastime and use the Bitcoin market as a form of entertainment. Moreover, our results have important implications concerning investors’ herding behavior and overconfidence leading to noise trader risks and bubbles typically accompanied by high trading volume in cryptocurrency markets.

scholarly journals Google Search and Stock Market Performance: Evidence from Malaysia

2019 ◽  
Vol 2 (1) ◽  
pp. 49-55
Author(s):  
Kelvin Yong Ming Lee
Keyword(s):  
Stock Market ◽  
Stock Price ◽  
Trading Volume ◽  
Market Performance ◽  
Volume Index ◽  
Investment Strategies ◽  
Search Volume ◽  
Stock Market Performance ◽  
Google Search ◽  
The Relationship

Nowadays, the internet changes the way for information searching and processing. Along with that, Google search had become the most popular search engine on the web since it allows users access to the information at a minimal cost. This study intends to investigate the relationship between Google search volume and the Malaysian stock market performance in the aspects of returns, volatility, and trading volume. The sample of this study consisted of 29 listed companies from the Malaysian stock market. The sample period of this study covered the period from 2016 to 2018. The data related to the stock market were downloaded from Investing.com, whereas the data related to Google search were downloaded from the database of Google Trend. The results indicated that the Google search volume index (GSVI) of the previous week tends to have significant positive impacts on the stock price changes. Thus, a higher search volume of the specific company name tends to increase the stock price of the particular company in the following week. Besides that, this study also revealed that the stock market performance tends to be affected by stock market performance in the previous week. Lastly, this study suggested that signals of GSVI need to be included in the investment strategies.  

scholarly journals The Impact of Attention to News about Tax Changes on the Stock Market

2017 ◽  
Vol 65 (6) ◽  
pp. 2113-2121 ◽  
Author(s):  
Jolana Stejskalová
Keyword(s):  
Stock Prices ◽  
Google Trends ◽  
Cross Sectional ◽  
Role Changes ◽  
George Bush ◽  
Search Intensity ◽  
Tax Changes ◽  
Market Capitalisation ◽  
Google Search ◽  
The Impact

We approach to point out new direction of measurement the attention of the news related to changes in taxes by using the application Google Trends. The objective of the study is to extend literature that investigates the impact of the information’s search intensity provided by Google Trends on capital market. We show that increasing attention on tax changes measured by Google search decrease stock prices of the US companies listed on NASDAQ. Moreover, we focus on abnormal Google searches related to particular shocks. The study investigates the positive relationship between attention to news about tax changes and stock prices in a specific year. The cross-sectional analysis employs data from 2004 and 2005. At that time, President George Bush enacted tax breaks for overseas corporate profits, which had a great impact on search intensity within the period. Additionally, we differentiate between market capitalisation by using the dummy variables to put on the role changes of probability on selected datasets. The results confirmed higher impact of attention on large cap companies and point out the importance of sentiment analysis at liquid markets.

Sign in / Sign up

Export Citation Format

Share Document