Fidelity Emerging Markets Limited (FEML) Fair Value & Analysis
Financial Services · GB · Market cap 612M GBX
Analysis
Fidelity Emerging Markets Limited (FEML) currently trades at p15.18, while our model-based Fair Value estimate is p26.51 — implying the stock looks roughly 74.6% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Fidelity Emerging Markets Limited is a closed ended equity mutual fund launched by Genesis Asset Managers, LLP. The fund is managed by Genesis Investment Management, LLP. It invests in the public equity markets of emerging countries across the globe. The fund invests in stocks of companies operating across diversified sectors. It invests in value stocks of companies. The fund employs fundamental analysis with bottom-up stock picking approach focusing on factors such as emerging market growth opportunities and companies which are found to be trading at an attractive discount to their assessed intrinsic value, Structural Changes, Change at the Corporate Level and Stock market Inefficiencies to create its portfolio. It seeks to benchmark the performance of its portfolio against the MSCI World Total Return Index and MSCI EM (TR) Index. The fund conducts in-house research to make its investments. Fidelity Emerging Markets Limited was formed in June 7, 1989 and is domiciled in Guernsey, C…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.