PRODUCTS
EMAlpha Data
40% of the information available on the web is in languages other than English. With EMAlpha’s Multilingual AI, investors gain the ability to track information in any language worldwide. This not only helps them mitigate risks but also enables them to stay updated on every major development. By harnessing the power of cutting-edge large language models, trained on meticulously curated information sources, EMAlpha delivers both standardized and tailored solutions, catering to diverse client use cases.
EMAlpha Labs
EMAlpha’s Multilingual Large Language Model (LLM) services encompass a comprehensive suite of knowledge discovery solutions designed to facilitate knowledge sharing, learning, knowledge capture and storage, strategy development, and collaboration. By harnessing the power of LLM technology, EMAlpha empowers individuals and organizations to unlock valuable insights and leverage knowledge effectively.
Emerging markets data
Information discovery is a big challenge in emerging markets due to the local language barrier. EMAlpha provides EM risk datasets with various underlying themes, thus providing extensive coverage of emerging market companies.
ESG data
With coverage of more than 55 countries and 15000+ companies, EMAlpha’s ESG data covers all the major frameworks such as SASB, TCFD, UNSDG etc. EMAlpha also provides sovereign ESG data, private companies’ ESG data, as well as AI-driven green bond scores.
Using multilingual NLP technology, EMAlpha extracts relevant data from over 50+ developed and emerging markets including US, UK, Japan, China, India, Brazil, and South Korea.
With climate change gaining priority, how are investors’ portfolios aligned with net-zero and climate goals?
How do company’s disclosures such as its sustainability report fare when assessed under a global framework? What does an ESG report convey?
With all the various ESG frameworks and jargon that are being used in the sustainability space, many companies are finding it confusing to report ardently on ESG.
Perform EM sentiment analysis for multiple companies. Check real time news flow to stay abreast of the latest happenings.
As the popularity of green bond has increased exponentially, it has become necessary to leverage technology to spot greenwashing and ensure that capital is invested in the aligned impact projects for the right reasons.
Who are we?
The EMAlpha team consists of members with diverse backgrounds and experience covering Emerging Markets, Portfolio Management, Trading, and Machine Learning.
The team consists of domain experts in emerging markets with significant experience in fundamental and quantitative analysis. A number of our team members have PhDs in finance and hard sciences and have spent considerable time applying machine learning methods to the markets. One team member has been a recipient of the Thomson Reuters’ Starmine Analyst Award for ‘Best Earnings Estimates’ and ‘Best Stock Picker’. Another member has published highly cited papers in Theoretical Physics. We believe that a strong team with diverse backgrounds helps us craft a multidimensional approach towards solving the data and investment problems in front of us.
INSIGHTS
The USD has weakened more than 9% year to date, providing broad support for emerging market currencies and also contributing to EM equity market outperformance of developed markets...
The Trump trade tariffs for the key Latin American markets of Mexico and Brazil were expected to hit hard, but both countries are feeling some relief after being spared, relative to other major trading...
With the prospect of a global trade war, fears of a coming recession in the US and a spike in market volatility everywhere, local investor sentiment for China has been resilient amid all the global uncertainty...
Negotiations with the IMF: The main point of discussion is the currency and monetary policy. The IMF considers the elimination of the "exchange rate restriction" and...
AI Agents are gaining momentum, but how do they differ from traditional Chatbots? In this article, we don’t just explain the difference...
Foreign companies held only 18% of the US$135 billion in TES bonds in circulation at the end of the year, a significant decrease from their previous position...
How We’re Leveraging RAG to Enable Chatbot Queries for Financial Documents, In this blog, you’ll discover how to create your very first RAG (Retrieval-Augmented Generation) application for question answering over documents....
While RAG has become increasingly popular over the last few months, document parsing is a critical but less recognized area. Ultimately, you can use all sorts....
Election Overview and Political Climate: Mexico's largest-ever election on June 2 includes presidential, legislative, and local positions...
South Africa's May 29 election features a record 31 parties, with nearly 28 million registered voters and 15,000 candidates wying for 887 seats. The ruling ANC is expected to fall short of 50% support due to socio-economic issues...