Changing of Currency Exchange and Its Harmony with Accounting Iraq’s Rules and International Accounting

The aim of the study was how the harmony between the Iraqi accounting rules and international standards and is there a difference between rule and the standard, which has been the International Standard No. (21) the effects of changes in foreign currency exchange rates and conduct a comparative analysis with the Iraqi accounting rules rule number (4) the effects of changing prices in foreign currencies have reached your search several conclusions the most important of the existence of a gap between the accounting Qaeda applicable between the international standard requirements represented by failure to disclose the change in the classification of foreign operations and export rules Iraqi accounting without cause by sufficient explanations and cases of practical application of some processors contained therein leading to interpretations and opinions of personality.

The influence of imports, foreign exchange reserves, external debt, and interest rates on the currency exchange rates against the United States Dollar in Southeast Asia Countries

This study aims to analyze the effect of imports, foreign exchange reserves, foreign debt, and interest rates on the currency exchange rates against the United States Dollar in Southeast Asia countries. The study results found that from 2010 to 2017, the currency exchange rates against the United States Dollar in Southeast Asian countries tended to weaken (depreciate). The highest growth in the exchange rate against the United States dollar was in Indonesia, while the lowest was in Singapore. Foreign exchange reserves negatively affect foreign debt, and imports positively affect countries' exchange rates in the Southeast Asia region against the United States dollar. On the other hand, interest rates do not show a significant effect.

Clustering the World Currency Exchange Rates Using Hierarchical Methods Based on Dynamic Time Warping

The analysis of currency exchange rates is of great importance to analyze the economic health of a country. In this paper, we collect and analyze the historical data on exchange rates of all available currencies, considering the US dollar as reference. In particular, we are interested in clustering the collected daily time series by using a similarity measure based on dynamic time warping. In total, the observations of 150 currencies, between January 3, 2005 and April 30, 2020, are analyzed. The results show that the use of dynamic time warping as a distance measure results in the improvement of the interpretability of the dendrograms, when compared with standard similarity measures such as the Euclidean distance.

Business Days Time Series Weekly Trend and Seasonality

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.

Pengaruh Average Daily Rate dan Nilai Tukar Mata Uang terhadap Revenue Per Available Room di Hotel XYZ

Revenue Per Available Room (RevPAR) at Hotel XYZ has decreased since 2017 to 2019. Hotel XYZ applied Best Average Daily Rate (ADR) to increase the income without reducing the guest satisfaction. This ADR used USD nominal, so the currency exchange rate (dollar to rupiah) will have an effect on RevPAR that should be reported by using rupiah nominal. There was a phenomenon that the increase of ADR and the currency exchange rates were not followed by the increase of RevPAR at Hotel XYZ in 2017 until 2019. The purpose of this research was to analyze the effect of Average Daily Rate (ADR) and the currency exchange rate on Revenue Per Available Room (RevPAR) at Hotel XYZ. This research was a quantitative research and used multiple linier regression analysis techniques, t-test, F test and coefficient of determination test by using SPSS version 23.0 program. In determining the sample of this study, non-probability sampling method was used. The sample used in this study is data from the last 3 years, 2017, 2018, and 2019. The result of the study showed that Average Daily Rate (X1) and the currency exchange rate (X2) had a significant effect on Revenue Per Available Room (Y) at Hotel XYZ, both partially or simultaneously.