News Event Data

in

Turkmenistan

Data Samples

Description

Techsalerator’s News Event Data for Turkmenistan offers a detailed compilation of information crucial for investors, traders, and financial institutions. This dataset provides a deep dive into news events and their potential impacts on the financial instruments of companies in Turkmenistan. The News Events dataset captures and categorizes significant events reported in various news sources, including press releases, industry news, blogs, and PR sites.

Top 5 Most Utilized Data Fields

  1. Announcement Date: This field records the date when a significant news event is officially announced. For investors, this date is critical for understanding the timing and potential impact of news on market movements and company valuations.
  2. Event Type: This field categorizes the nature of the news event, such as economic policy changes, regulatory updates, or company-specific news. Identifying the type of event helps investors gauge its relevance and potential effect on their investments.
  3. Impact Rating: This field assesses the anticipated impact of the news event on the company's stock price or financial performance. Understanding the impact rating allows investors to evaluate the significance of news events and make informed decisions.
  4. Event Summary: This field provides a concise overview of the news event, summarizing key details and implications. Investors use this summary to quickly grasp the essence of the news and its relevance to their investment strategy.
  5. Related Company: This field identifies the company or companies directly affected by the news event. Knowing which companies are involved helps investors focus on relevant market segments and adjust their portfolios accordingly.

Top 5 News Events in Turkmenistan

  1. Political Developments: Updates on government leadership changes, elections, and major political decisions. Key events include shifts in leadership, changes in governance policies, and international diplomatic relations.
  2. Economic Reforms: News related to Turkmenistan's economic policies, including reforms, investments, and economic growth. Significant events might involve new economic strategies, infrastructure projects, and foreign investments.
  3. Energy Sector News: Developments in Turkmenistan's oil and gas industry, including production levels, international partnerships, and changes in global energy markets. Major projects and agreements in the energy sector are closely monitored.
  4. Social and Cultural Events: Information about major social and cultural activities in Turkmenistan, such as national celebrations, cultural festivals, and significant public events. These can influence national mood and international perceptions.
  5. Environmental and Infrastructure Issues: Reports on environmental challenges and infrastructure projects. News might include efforts to address water scarcity, desertification, and major construction projects.

Top 5 Financial Instruments with News Event Data in Turkmenistan

  1. Turkmenistan Manat (TMT): The national currency. News affecting its exchange rate, inflation, and monetary policy are key. Information on currency stability and central bank policies impacts the TMT.
  2. Government Bonds: Bonds issued by the Turkmen government. News about bond yields, fiscal policies, and economic stability affects these instruments. Developments in government debt management and credit ratings are also relevant.
  3. Oil and Gas Investments: Financial instruments related to investments in Turkmenistan's oil and gas sector. News about production levels, international partnerships, and energy market conditions influence these investments.
  4. Infrastructure Project Bonds: Bonds related to major infrastructure projects in Turkmenistan. Updates on large-scale construction projects, public-private partnerships, and government funding impact these bonds.
  5. Foreign Direct Investment (FDI) Projects: Investments in various sectors driven by foreign entities. News about new FDI projects, changes in investment regulations, and international partnerships affects these financial instruments.

Accessing Techsalerator’s News Event Data

If you’re interested in obtaining Techsalerator's News Event Data for Turkmenistan, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide a customized quote based on the number of data fields and records you need, with the dataset available for delivery within 24 hours. Ongoing access options can also be discussed as needed.

Included Data Fields

    • Company Domain Name
    • Signal Category
    • Effective date
    • Found at date
    • Readable formatted signal
    • News Article Source
    • News Article Title
    • News Article Sentence
    • News Article Body
    • News Article Source URL
    • News Article Published At
    • Related signal data (ie: Associated Company Data, Location, Award, Recognition, Asset Type, ...)

For actionable insights into news events and their implications for financial instruments in Turkmenistan, Techsalerator's dataset is an essential resource for financial professionals and investors aiming to stay informed and make strategic decisions.

Q&A:  

How much does the News Event Data Dataset for Turkmenistan cost?

A: The cost of the News Event Data Dataset can vary based on several factors, including the number of data fields, the frequency of updates, and the total number of records required. For precise pricing details, it is best to consult directly with a Techsalerator Data specialist who can provide a customized quote based on your specific needs.

How complete is the coverage of the News Event Data in Turkmenistan?

A: Techsalerator’s News Event Data for Turkmenistan provides extensive coverage of significant news events impacting various sectors and industries across the country. The dataset includes a wide range of events, from political and economic developments to major business operations, ensuring a thorough understanding of the broader economic and business environment in Turkmenistan.

How does Techsalerator collect this data?

A: Techsalerator gathers News Event Data from a variety of reliable sources, including official announcements, government publications, industry reports, and credible news outlets. The data is meticulously curated to ensure accuracy and reliability, providing valuable insights into significant events that affect the Turkmenistan market and economy.

Can I select specific sectors or multiple countries with Techsalerator's News Event Data?

A: Techsalerator offers the flexibility to select specific sectors or focus on particular types of news events within Turkmenistan. While the primary dataset is focused on Turkmenistan, Techsalerator may be able to provide data for other countries or additional regions upon request. It’s advisable to discuss your specific requirements with a Techsalerator representative to tailor the dataset to your needs.

How do I pay for this dataset?

A: Techsalerator accepts various payment methods to facilitate a convenient and secure transaction process. Payment options include credit cards, direct transfers, ACH (Automated Clearing House), and wire transfers. You can choose the payment method that best suits your needs and preferences.

How do I receive the data?

A: Techsalerator provides the News Event Data through multiple delivery methods to ensure ease of access and integration. Options include FTP, SFTP, S3 bucket, or email. The dataset can be delivered in various formats such as JSON, CSV, TXT, or XLS, allowing you to choose the format that best fits your data processing and integration requirements.

Pricing

Commercial Models

Availability

One-off purchase
Available
Data subscription (Monthly Updates)  
Available
Data subscription (Quarterly Updates)  
Available
Data subscription (Annual Updates)  
Available

Suitable Company Sizes

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Small Business
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Medium-sizedBusiness
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Enterprise

Quality

99%
Data Coverage
95%
Accuracy

Delivery

 Methods
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SFTP
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Email
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FeedAPI
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S3 Bucket
 Format
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.json
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.csv
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.xls
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.txt
Pricing available upon request

Most popular fields