scholarly journals The Impact of Currency Exchange Rates and Canadian and U.S. Unemployment Rates on Non-Immigrant Visas from Canada to the U.S.

2009 ◽  
Vol 36 (3-4) ◽  
pp. 217
Author(s):  
W. Andrew Harrell ◽  
Jennifer A. Boisvert
Keyword(s):  
Decision Making ◽  
Exchange Rates ◽  
Cross Correlation ◽  
Matching Law ◽  
Regression Analyses ◽  
Unemployment Rates ◽  
Currency Exchange ◽  
Currency Exchange Rates ◽  
The Impact ◽  
The U.S

Changes in immigration rates by Canadians from 1989 to 2006 were examined for three non-immigrant visa categories. Cross correlation functions (CCF) were calculated relating changes in numbers of visas to changes in Canada-U.S. currency exchange and unemployment rates. Regression analyses tested Han- Ibbott’s (2005) model of immigration decision-making and a variation of Herrnstein’s (1961) matching law. CCF analysis found that currency exchange and unemployment rates were predictive of changes in immigration rates. Regression analyses indicated that a devalued Canadian dollar discouraged migration to the U.S. These findings have implications for Canada-U.S. inequities in bilateral immigration under NAFTA, with Canada experiencing a greater drain in human capital.

scholarly journals MODEL ESTIMASI GARCH DALAM MENGUKUR KINERJA NILAI TUKAR RUPIAH

2017 ◽  
Vol 18 (02) ◽  
pp. 52-61
Author(s):  
Imelda Saluza
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Accurate Estimation ◽  
Estimation Model ◽  
High Data ◽  
Currency Exchange ◽  
Currency Exchange Rates ◽  
High Volatility ◽  
The Exchange Rate ◽  
The Impact

The exchange rate is determined by the demand and supply relationship of the currency. If the demand for a currency increases, while the supply remains or even decreases, then the exchange rate will rise vice versa. The ups and downs of exchange rates on the money market indicate the magnitude of the volatility that occurs in the currency of a State against the currencies of other countries. The volatility phenomenon indicates difficulty in analyzing the exchange rate. Increasing volatility indicates an even greater movement of currency exchange rates even if currency exchange rates experience extreme volatility resulting in economic instability both from the micro and macro sides. The high volatility seen from the pattern of price movements that occur in financial markets, and the impact that can be generated from the high volatility data is the error that will have a variance that is not constant. That is, a relatively high data variability at a time indicates the presence of heteroscedasticity. Heteroscedasticity can lead to errors in drawing a conclusion to the estimated model obtained. Therefore, we need a model that is able to solve the problem that is Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model in order to get more accurate estimation model to estimate exchange rate. From the simulation result, all data contain the volatility seen from the result of heteroscedasticity test, and obtained estimation model for all data.

The impact of Chinese financial markets on commodity currency exchange rates

2018 ◽  
Vol 37 ◽  
pp. 186-198 ◽  
Author(s):  
Xiuying Ma ◽  
Zhihua Yang ◽  
Xiangyun Xu ◽  
Chengqi Wang
Keyword(s):  
Financial Markets ◽  
Exchange Rates ◽  
Currency Exchange ◽  
Currency Exchange Rates ◽  
The Impact

scholarly journals Business Days Time Series Weekly Trend and Seasonality

2021 ◽  
Vol 5 (1) ◽  
pp. 26
Author(s):  
Karlis Gutans
Keyword(s):  
Time Series ◽  
Global Warming ◽  
Exchange Rates ◽  
Temperature Data ◽  
Adjustment Method ◽  
Currency Exchange ◽  
Currency Exchange Rates ◽  
Time Series Decomposition ◽  
The World

The world changes at incredible speed. Global warming and enormous money printing are two examples, which do not affect every one of us equally. “Where and when to spend the vacation?”; “In what currency to store the money?” are just a few questions that might get asked more frequently. Knowledge gained from freely available temperature data and currency exchange rates can provide better advice. Classical time series decomposition discovers trend and seasonality patterns in data. I propose to visualize trend and seasonality data in one chart. Furthermore, I developed a calendar adjustment method to obtain weekly trend and seasonality data and display them in the chart.

scholarly journals The Impact of Subsidies, Storage, and Exchange Rates on Exports of Canadian Fresh Carrots to the United States

1987 ◽  
Vol 16 (2) ◽  
pp. 123-129
Author(s):  
Ralph E. Bierlen ◽  
David Blandford
Keyword(s):  
United States ◽  
Exchange Rates ◽  
Cold Storage ◽  
Storage Capacity ◽  
The United States ◽  
Canadian Dollar ◽  
Canadian Government ◽  
Government Aid ◽  
The Impact ◽  
The U.S

Canadian exports of fresh carrots to the United States have increased substantially in recent years. The depreciation of the Canadian dollar against the U.S. dollar has been a major factor. Canadian government subsidies also may have had an impact by accelerating the construction of cold storage facilities. These have permitted the marketing period to be extended. However, an analysis of costs and returns suggests that cold storage of carrots is commercially profitable. Storage capacity would probably have increased without government aid. The returns to storage and the change in exchange rates are the primary factors contributing to the expansion of Canadian exports.

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