Is Exchange Rate Moody? Estimating the Influence of Market Sentiments With Google Trends
This paper proposes a novel method of exchange rate forecasting. We extend the present value model based on observable fundamentals by including three unobserved fundamentals: credit-market, financial-market, and price-market sentiments. We develop a method of sentiments extraction from Google Trend...
Main Authors: | Michał Chojnowski, Piotr Dybka |
---|---|
Format: | Article |
Language: | English |
Published: |
SGH Warsaw School of Economics, Collegium of Economic Analysis
2017-04-01
|
Series: | Econometric Research in Finance |
Online Access: | https://erfin.org/journal/index.php/erfin/article/view/13 |
Similar Items
-
Outside Influences: How Moody's Credit Ratings Impact the Swedish Stock Market
by: Björklund, Olle, et al.
Published: (2013) -
Predictability analysis of the Pound’s Brexit exchange rates based on Google Trends data
by: Amaryllis Mavragani, et al.
Published: (2020-09-01) -
Does Google Trends-ruled Exchange Rate Predictions Beat Random Walk?
by: Chang, Li-Yin, et al.
Published: (2019) -
Response: Jane Moody
by: Jane Moody
Published: (2009-04-01) -
Nowcasting Consumer Confidence Index: Taiwan e-investor Sentiment and Google Trends
by: Min-Chiao Tsai, et al.
Published: (2014)