Google Search and Financial Crisis: Evidence from Banks
碩士 === 國立臺北大學 === 統計學系 === 106 === We are experiencing an explosive growth of information. When we hope to obtain some message from the web, we can either enter a keyword(s) search for the required information through search engines. By search engine optimization, banks can use search engine optimiz...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/7fx65p |
id |
ndltd-TW-106NTPU0337001 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-106NTPU03370012019-05-16T00:00:24Z http://ndltd.ncl.edu.tw/handle/7fx65p Google Search and Financial Crisis: Evidence from Banks 谷歌搜索和金融危機:銀行實證 Hsieh, Yung-Yu 謝永祐 碩士 國立臺北大學 統計學系 106 We are experiencing an explosive growth of information. When we hope to obtain some message from the web, we can either enter a keyword(s) search for the required information through search engines. By search engine optimization, banks can use search engine optimization to enable potential customers to search for priority information related to the bank. In this paper, we use Google search engine as an example to explore the heterogeneity in decision-making behaviors for banks using the Google search index (SVI) around the 2007-2008 financial crisis. Investors use the Google search engine to query the status of the bank with the name of banks as a keyword, and the query value is called the Google Search Index (SVI) as a variable of investor attention. Our final study points out that bank with more investor attention have more loans and higher leverage. In addition, after the financial crisis, the performance of these banks gets worse and their probability of default increases more. Yen, Ju-Fang 顏汝芳 2018 學位論文 ; thesis 31 en_US |
collection |
NDLTD |
language |
en_US |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立臺北大學 === 統計學系 === 106 === We are experiencing an explosive growth of information. When we hope to obtain some message from the web, we can either enter a keyword(s) search for the required information through search engines. By search engine optimization, banks can use search engine optimization to enable potential customers to search for priority information related to the bank. In this paper, we use Google search engine as an example to explore the heterogeneity in decision-making behaviors for banks using the Google search index (SVI) around the 2007-2008 financial crisis. Investors use the Google search engine to query the status of the bank with the name of banks as a keyword, and the query value is called the Google Search Index (SVI) as a variable of investor attention. Our final study points out that bank with more investor attention have more loans and higher leverage. In addition, after the financial crisis, the performance of these banks gets worse and their probability of default increases more.
|
author2 |
Yen, Ju-Fang |
author_facet |
Yen, Ju-Fang Hsieh, Yung-Yu 謝永祐 |
author |
Hsieh, Yung-Yu 謝永祐 |
spellingShingle |
Hsieh, Yung-Yu 謝永祐 Google Search and Financial Crisis: Evidence from Banks |
author_sort |
Hsieh, Yung-Yu |
title |
Google Search and Financial Crisis: Evidence from Banks |
title_short |
Google Search and Financial Crisis: Evidence from Banks |
title_full |
Google Search and Financial Crisis: Evidence from Banks |
title_fullStr |
Google Search and Financial Crisis: Evidence from Banks |
title_full_unstemmed |
Google Search and Financial Crisis: Evidence from Banks |
title_sort |
google search and financial crisis: evidence from banks |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/7fx65p |
work_keys_str_mv |
AT hsiehyungyu googlesearchandfinancialcrisisevidencefrombanks AT xièyǒngyòu googlesearchandfinancialcrisisevidencefrombanks AT hsiehyungyu gǔgēsōusuǒhéjīnróngwēijīyínxíngshízhèng AT xièyǒngyòu gǔgēsōusuǒhéjīnróngwēijīyínxíngshízhèng |
_version_ |
1719158806135439360 |