Google Arama Motoru Ve TTrk Lirass - Dolar Kurunu Belirleyen Yappsal Modeller (Google Trend and Structural Exchange Rate Models for Turkish Lira-US Dollar Exchange Rate)

2015 ◽  
Author(s):  
Levent Bulut
Keyword(s):  
Exchange Rate ◽  
Dollar Exchange Rate ◽  
Us Dollar ◽  
Exchange Rate Models ◽  
Structural Exchange Rate Models ◽  
Turkish Lira

Google Trends and Structural Exchange Rate Models for Turkish Lira–US Dollar Exchange Rate

2018 ◽  
Vol 14 (2) ◽  
Author(s):  
Levent Bulut ◽  
Can Dogan
Keyword(s):  
Exchange Rate ◽  
Random Walk ◽  
Purchasing Power Parity ◽  
Google Trends ◽  
Power Parity ◽  
Dollar Exchange Rate ◽  
Out Of Sample ◽  
Us Dollar ◽  
Exchange Rate Models ◽  
Turkish Lira

Abstract In this paper, we use Google Trends data to proxy macro fundamentals that are related to two conventional structural determination of exchange rate models: purchasing power parity model and the monetary exchange rate determination model. We assess forecasting performance of Google Trends based models against random walk null on Turkish Lira–US Dollar exchange rate for the period of January 2004 to August 2015. We offer a three-step methodology for query selection for macro fundamentals in Turkey and the US. In out-of-sample forecasting, results show better performance against no-change random walk predictions for specifications both when we use Google Trends data as the only exchange rate predictor or augment it with exchange rate fundamentals. We also find that Google Trends data has limited predictive power when used in year-on-year growth rate format.

scholarly journals Is Gold a Hedge Against Turkish Lira?

2008 ◽  
Vol 3 (1) ◽  
pp. 35-40 ◽  
Author(s):  
Feride Ozturk ◽  
Sezgin Acikalin
Keyword(s):  
Exchange Rate ◽  
Price Index ◽  
Consumer Price Index ◽  
Gold Price ◽  
Dollar Exchange Rate ◽  
Vector Error Correction ◽  
Vector Error ◽  
Us Dollar ◽  
Turkish Lira

Is Gold a Hedge Against Turkish Lira?This paper investigates whether gold is an internal hedge and/or an external hedge against Turkish lira (TL) by using monthly data from January 1995 to November 2006. Cointegration test results confirm the long-term relationships between the gold price and consumer price index and between the gold price and TL/US dollar exchange rate. The Granger Tests, based on vector error correction model (VECM), indicate that gold price Granger causes the consumer price index and TL/US dollar exchange rate in a unidirectional way. It is concluded that gold acts as an effective hedge against potential future TL depreciation and rising domestic inflation. Furthermore, gold price may be considered as a good indicator of inflation and hence it can be used as a guide to monetary policy.

Bitcoin Sentiment Index, Performance and US Dollar Exchange Rate

2020 ◽  
Author(s):  
Ishfaque Ahmed Soomro ◽  
Suresh Kumar Oad Rajput ◽  
Najma Ali
Keyword(s):  
Exchange Rate ◽  
Dollar Exchange Rate ◽  
Us Dollar

Spillover effect of US dollar exchange rate on oil prices

2008 ◽  
Vol 30 (6) ◽  
pp. 973-991 ◽  
Author(s):  
Yue-Jun Zhang ◽  
Ying Fan ◽  
Hsien-Tang Tsai ◽  
Yi-Ming Wei
Keyword(s):  
Exchange Rate ◽  
Spillover Effect ◽  
Oil Prices ◽  
Dollar Exchange Rate ◽  
Us Dollar

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI JUMLAH KUNJUNGAN WISATAWAN DI PROPINSI SUMATERA UTARA

2021 ◽  
Vol 4 (1) ◽  
pp. 1-10
Author(s):  
Enita Rosmika
Keyword(s):  
Exchange Rate ◽  
General Knowledge ◽  
Product Knowledge ◽  
Climate History ◽  
Dollar Exchange Rate ◽  
Factors Affecting ◽  
Independent Variables ◽  
Tourism Product ◽  
The Us ◽  
Us Dollar

Tourism Product Knowledge is regarding the general knowledge of all regions in Indonesia which includes the location of the region / geography, climate, history, politics, culture, and particularly object - attractions and facilities and attractions which support it. In this study, entitled Factors Affecting Total tourist arrivals in Sumut Province Year Period 2014 -2019. The purpose of this study was to determine the number of rooms and the dollar exchange rate partially and simultaneously inuence the number of tourist arrivals in Sumut, in order to obtain a result the number of hotel rooms inuential not evident partially on the number of tourists visiting the province of Sumut, because t smaller than t table or -1.651 <1.761 while the dollar exchange rate has a signicant effect on the number of tourists visiting the province of Sumut, because t is greater than t table or 2.236> 1.740 and Total Room and the US dollar exchange rate simultaneously or together of the number of tourists visiting Sumut Province since F count> F table or 13.288> 3.59. The magnitude of the effect of independent variables on the dependent variable simultaneously can be known from the value of the coefcient of determination (R2) is equal to 0.639. This means that both variables jointly contribute to or inuence amounted to 63.9 percent of the number of tourists visiting the province of Sumut, while the remaining 36.1 percent is inuenced by other variables that are not described in the model, such as safety, service, facilities.

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