This dataset contains news headlines relevant to key forex pairs: AUDUSD, EURCHF, EURUSD, GBPUSD, and USDJPY. The data was extracted from reputable platforms Forex Live and FXstreet over a period of 86 days, from January to May 2023. The dataset comprises 2,291 unique news headlines. Each headline includes an associated forex pair, timestamp, source, author, URL, and the corresponding article text. Data was collected using web scraping techniques executed via a custom service on a virtual machine. This service periodically retrieves the latest news for a specified forex pair (ticker) from each platform, parsing all available information. The collected data is then processed to extract details such as the article's timestamp, author, and URL. The URL is further used to retrieve the full text of each article. This data acquisition process repeats approximately every 15 minutes.

To ensure the reliability of the dataset, we manually annotated each headline for sentiment. Instead of solely focusing on the textual content, we ascertained sentiment based on the potential short-term impact of the headline on its corresponding forex pair. This method recognizes the currency market's acute sensitivity to economic news, which significantly influences many trading strategies. As such, this dataset could serve as an invaluable resource for fine-tuning sentiment analysis models in the financial realm.

We used three categories for annotation: 'positive', 'negative', and 'neutral', which correspond to bullish, bearish, and hold sentiments, respectively, for the forex pair linked to each headline. The following Table provides examples of annotated headlines along with brief explanations of the assigned sentiment.

Examples of Annotated Headlines Forex Pair Headline Sentiment Explanation GBPUSD Diminishing bets for a move to 12400 Neutral Lack of strong sentiment in either direction GBPUSD No reasons to dislike Cable in the very near term as long as the Dollar momentum remains soft Positive Positive sentiment towards GBPUSD (Cable) in the near term GBPUSD When are the UK jobs and how could they affect GBPUSD Neutral Poses a question and does not express a clear sentiment JPYUSD Appropriate to continue monetary easing to achieve 2% inflation target with wage growth Positive Monetary easing from Bank of Japan (BoJ) could lead to a weaker JPY in the short term due to increased money supply USDJPY Dollar rebounds despite US data. Yen gains amid lower yields Neutral Since both the USD and JPY are gaining, the effects on the USDJPY forex pair might offset each other USDJPY USDJPY to reach 124 by Q4 as the likelihood of a BoJ policy shift should accelerate Yen gains Negative USDJPY is expected to reach a lower value, with the USD losing value against the JPY AUDUSD RBA Governor Lowe’s Testimony High inflation is damaging and corrosive

Positive Reserve Bank of Australia (RBA) expresses concerns about inflation. Typically, central banks combat high inflation with higher interest rates, which could strengthen AUD. Moreover, the dataset includes two columns with the predicted sentiment class and score as predicted by the FinBERT model. Specifically, the FinBERT model outputs a set of probabilities for each sentiment class (positive, negative, and neutral), representing the model's confidence in associating the input headline with each sentiment category. These probabilities are used to determine the predicted class and a sentiment score for each headline. The sentiment score is computed by subtracting the negative class probability from the positive one.

Peru Foreign Exchange Transactions: FOREX Linked Commercial Deposits: Issued data was reported at 0.000 USD mn in Apr 2020. This stayed constant from the previous number of 0.000 USD mn for Mar 2020. Peru Foreign Exchange Transactions: FOREX Linked Commercial Deposits: Issued data is updated monthly, averaging 0.000 USD mn from Jan 2014 (Median) to Apr 2020, with 76 observations. The data reached an all-time high of 1.613 USD bn in Sep 2014 and a record low of 0.000 USD mn in Apr 2020. Peru Foreign Exchange Transactions: FOREX Linked Commercial Deposits: Issued data remains active status in CEIC and is reported by Central Reserve Bank of Peru. The data is categorized under Global Database’s Peru – Table PE.KB002: Central Bank: Foreign Exchange Transactions with Commercial Banks. [COVID-19-IMPACT]

Foreign Exchange Transactions: FOREX Linked Commercial Deposits: Net Issuance data was reported at 0.000 USD mn in Apr 2020. This stayed constant from the previous number of 0.000 USD mn for Mar 2020. Foreign Exchange Transactions: FOREX Linked Commercial Deposits: Net Issuance data is updated monthly, averaging 0.000 USD mn from Jan 2014 (Median) to Apr 2020, with 76 observations. The data reached an all-time high of 1.613 USD bn in Sep 2014 and a record low of -975.397 USD mn in Nov 2014. Foreign Exchange Transactions: FOREX Linked Commercial Deposits: Net Issuance data remains active status in CEIC and is reported by Central Reserve Bank of Peru. The data is categorized under Global Database’s Peru – Table PE.KB002: Central Bank: Foreign Exchange Transactions with Commercial Banks. [COVID-19-IMPACT]

This study examined the relationship between debt servicing and foreign exchange rate unification in Nigeria from 1995 to 2023, hypothesizing that a unified exchange rate policy would significantly impact the country's debt service-to-revenue ratio. Using annual time series data from sources such as the International Monetary Fund and World Development Indicators, the study employed an Autoregressive Distributed Lag (ARDL) model to analyze the relationship between the debt service-to-revenue ratio and factors including the official foreign exchange rate, GDP growth rate, inflation rate, and oil prices. The findings revealed several notable insights. Exchange rate unification was found to have a significant negative effect on the debt service-to-revenue ratio, suggesting that a unified exchange rate policy could help reduce Nigeria's debt service burden. Both current and lagged inflation rates showed a significant negative impact on the debt service-to-revenue ratio, indicating that higher inflation might be eroding the real value of debt or increasing nominal revenues faster than debt servicing costs. Lagged exchange rates were found to negatively affect the debt service-to-revenue ratio, implying that higher exchange rates in the previous period decrease the current ratio. Oil prices demonstrated mixed effects, with current prices positively impacting the debt service-to-revenue ratio while lagged prices had a negative effect. The study also revealed strong persistence in debt servicing behavior over time, as evidenced by the significant positive correlation between current and previous year's debt service ratios. These results offer significant implications for policymakers. The negative effect of exchange rate unification on the debt service-to-revenue ratio suggests that such a policy could improve efficiency in forex markets and reduce arbitrage opportunities, ultimately helping to reduce the debt service burden. The negative relationship between inflation and the debt service-to-revenue ratio indicates that higher inflation might be beneficial for debt servicing in the short term, though this should be interpreted cautiously given the potential negative consequences of high inflation. The mixed impact of oil prices reflects the complexity of Nigeria's oil-dependent economy, highlighting the need for economic diversification. The strong persistence in debt servicing commitments points to potential structural issues in debt management or lack of fiscal flexibility. Policymakers can use these findings to inform strategies for managing Nigeria's debt burden. The results suggest that pursuing exchange rate unification, carefully managing inflation, diversifying the economy to reduce oil dependence, and improving fiscal discipline could all contribute to better management of debt servicing costs. However, it's crucial to consider the lagged effects of economic variables on debt servicing when formulating long-term fiscal strategies.

Title: Historical INR to USD Currency Exchange Rate Dataset (March 2020 - March 2023)

Description:

This comprehensive dataset, titled "Historical INR to USD Currency Exchange Rate Dataset," presents a meticulous collection of currency exchange rates between the Indian Rupee (INR) and the United States Dollar (USD) over a span from March 4, 2020, to March 2, 2023. With granular data points capturing each month's date, year, and INR price against the USD, this dataset offers a valuable resource for researchers, analysts, and data enthusiasts seeking to explore, analyze, and derive insights from currency market trends.

Key Features:

Temporal Coverage: The dataset spans a period of three years, enabling a thorough examination of currency exchange rate fluctuations and trends over a diverse range of economic conditions. High-Quality Data: The exchange rates are meticulously recorded, ensuring accuracy and reliability for various research and analytical applications. Month-wise Granularity: Each entry includes the month's date and year, allowing users to discern intra-month fluctuations and patterns. Analytical Flexibility: Researchers can harness the dataset to develop predictive models, backtesting strategies, conducting econometric analyses, and identifying factors that influence currency movements. Multidisciplinary Applicability: This dataset is valuable to professionals across finance, economics, data science, and other fields, serving as a foundation for a plethora of research endeavors. Potential Use Cases:

Currency Forecasting: Researchers can leverage this dataset to build and evaluate models for predicting INR to USD exchange rates, contributing to the development of more accurate forecasting methods. Economic Analysis: Analysts can examine historical exchange rate trends to understand the impact of geopolitical events, economic policies, and market dynamics on currency valuation. Investment Strategies: Traders and investors can backtest trading strategies and assess risk exposure based on historical exchange rate data. Academic Research: Economists and scholars can utilize this dataset for academic studies, contributing to the broader understanding of currency markets and their implications. By making this dataset available to the Kaggle community, we aim to foster collaborative research and knowledge sharing among data enthusiasts, empowering them to uncover new insights, develop innovative models, and make informed decisions in the realm of currency exchange rate analysis. Whether you're a seasoned data scientist or a curious learner, this dataset invites you to embark on a journey of exploration and discovery in the world of currency markets.

We encourage users to explore the dataset, engage in discussions, and contribute their findings and methodologies to advance our collective understanding of currency exchange rate dynamics. Your insights and contributions could pave the way for more accurate forecasting, better risk management, and enhanced economic decision-making.

Note: The dataset is provided in CSV format and is for research and educational purposes only. Users are encouraged to cite the dataset appropriately when using it in their work.

[Dataset Link]

Keywords: currency exchange rates, Indian Rupee, United States Dollar, historical data, financial markets, forecasting, data analysis, economic trends, Kaggle dataset.

Foreign Exchange Reserves in Saudi Arabia increased to 1721072 SAR Million in May from 1647513 SAR Million in April of 2025. This dataset provides - Saudi Arabia Foreign Exchange Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Foreign Exchange Reserves in Russia increased to 680379 USD Million in May from 680271 USD Million in April of 2025. This dataset provides - Russia Foreign Exchange Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset contains all the information utilized in the paper 'foreign exchange swaps: a substitute for the use of international reserves?'.

In the B3 related data, the main contribution is the information gathered by data-scraping the daily information available at the B3 exchange to build a time series of the institutional investor's net open positions in this exchange. Furthermore, the time series of the future BRL/USD obtained at the B3 exchange website is made available.

In the swaps related data, there are different sets of data. The swaps raw dataset was collected by gathering information made available by the Brazilian Central Bank through its monthly open market notes. Furthermore, data scraped from the Braziian Central Bank norms' search engine provide the information on the type of the swaps contracts.

With the datasets, it is possible to reproduce: 1. The descriptive statistics presented on the paper and to reproduce; 2. The logistic model that calculate the log-odds ratio of the spread between the coupon and the libor being larger than the EMBI+ risk-oremium measure be associated with expected or unexpected swaps. 3. The generalized autoregressive conditional heteroskedasticity models presented by the end of the paper. The null hypothesis in these model is that the inclusion of the external regressors has no statistical relationship with the conditional mean of the returns of the BRL/USD future' exchange rate in its first maturity and the alternative hypothesis is that the statistical relationship between the set of external regresors and the dependent variable is different from zero.

All of the control variables are publicly available and were obtained at the FRED (St. Louis Federal Reserve database), at the Brazilian Central Bank database and at the IPEADATA database. They are reproduced here to facilitate the reproduction of the paper.

A graphic that displays the dollar performance against other currencies reveals that economic developments had mixed results on currency exchanges. The third quarter of 2023 marked a period of disinflation in the euro area, while China's projected growth was projected to go up. The United States economy was said to have a relatively strong performance in Q3 2023, although growing capital market interest rate and the resumption of student loan repayments might dampen this growth at the end of 2023. A relatively weak Japanese yen Q3 2023 saw pressure from investors towards Japanese authorities on how they would respond to the situation surrounding the Japanese yen. The USD/JPY rate was close to ***, whereas analysts suspected it should be around ** given the country's purchase power parity. The main reason for this disparity is said to be the differences in central bank interest rates between the United States, the euro area, and Japan. Any future aggressive changes from, especially the U.S. Fed might lower those differences. Financial markets responded somewhat disappoint when Japan did not announce major plans to tackle the situation. Potential rent decreases in 2024 Central bank rates peak in 2023, although it is expected that some of these will decline in early 2024. That said, analysts expect overall policies will remain restrictive. For example, the Bank of England's interest rate remained unchanged at **** percent in Q3 2023. It is believed the United Kingdom's central bank will ease its interest rate in 2024 but less than either the U.S. Fed or the European Central Bank. This should be a positive development for the pound compared to either the euro or the dollar.

The purpose of this data is to analyze the link between foreign debt and reserve taking experiences from Ethiopian economy. The data is collected from secondary sources, World Bank datasets.

Foreign Exchange Reserves in China increased to 3317000 USD Million in June from 3285000 USD Million in May of 2025. This dataset provides - China Foreign Exchange Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Foreign Exchange Reserves in Brazil increased to 343951.60 USD Million in June from 341459.40 USD Million in May of 2025. This dataset provides - Brazil Foreign Exchange Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for U.S. Dollars to U.K. Pound Sterling Spot Exchange Rate (EXUSUK) from Jan 1971 to Jun 2025 about United Kingdom, exchange rate, currency, rate, and USA.

The COVID-19 outbreak has had a catastrophic effect on the tourism sector and poverty alleviation efforts. This is especially the case, given the crucial role the tourism sector plays in poverty alleviation and the generation of foreign exchange earnings. This study investigates the moderating influence of extreme poverty on the underlying link between the size of the tourism industry and COVID-19 Economic Stimulus Packages (ESPs) while accounting for the influence of external debt. The results show that tourism-dependent economies with a larger share of individuals living in extreme poverty introduced larger ESPs to cushion the impacts of the COVID-19 outbreak. In addition, economies with larger external debt have less fiscal and monetary leeway to alleviate the negative effects of the COVID-19 outbreak.

The USD/CNY exchange rate fell to 7.1702 on July 14, 2025, down 0.03% from the previous session. Over the past month, the Chinese Yuan has strengthened 0.17%, and is up by 1.42% over the last 12 months. Chinese Yuan - values, historical data, forecasts and news - updated on July of 2025.

Graph and download economic data for Nominal Broad U.S. Dollar Index (TWEXBGSMTH) from Jan 2006 to Jun 2025 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.

Graph and download economic data for Chinese Yuan Renminbi to U.S. Dollar Spot Exchange Rate (DEXCHUS) from 1981-01-02 to 2025-07-03 about China, exchange rate, currency, rate, and USA.

Foreign Exchange Reserves in Mexico increased to 241715.60 USD Million in June from 239981.60 USD Million in May of 2025. This dataset provides - Mexico Foreign Exchange Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

外汇交易：FOREX Linked Commercial Deposits：已发行在04-01-2020达0.000百万美元，相较于03-01-2020的0.000百万美元保持不变。外汇交易：FOREX Linked Commercial Deposits：已发行数据按月更新，01-01-2014至04-01-2020期间平均值为0.000百万美元，共76份观测结果。该数据的历史最高值出现于09-01-2014，达1,613.002百万美元，而历史最低值则出现于04-01-2020，为0.000百万美元。CEIC提供的外汇交易：FOREX Linked Commercial Deposits：已发行数据处于定期更新的状态，数据来源于Banco Central de Reserva del Peru，数据归类于全球数据库的秘鲁 – 表 PE.KB002：中央银行：Foreign Exchange Transactions with Commercial Banks。

Key information about Lebanon Foreign Exchange Reserves

• Lebanon Foreign Exchange Reserves was measured at 10.0 USD bn in Jun 2024, compared with 9.9 USD bn in the previous month
• Lebanon Foreign Exchange Reserves: USD mn data is updated monthly, available from Jan 2024 to Jun 2024
• The data reached an all-time high of 10.0 USD bn in Jun 2024 and a record low of 9.4 USD bn in Jan 2024

• In the latest reports, Lebanon Foreign Exchange Reserves equaled 12.5 Months of Import in Dec 2022.
• Its Money Supply M2 increased 1.2 USD bn YoY in Nov 2024.
• The country's Non Performing Loans Ratio stood at 23.8 % in Jun 2020, compared with the ratio of 20.3 % in the previous quarter.