Python
Traditional Heston calibration is slow and sensitive to noisy data, making it impractical for live use. We wanted to know whether deep learning could make it faster and more accurate without discarding the model's financial interpretability.
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Financial Modeling
A full bottom-up equity research report on Lightspeed Commerce Inc. (LSPD), produced for the CFA Institute Research Challenge. Initiated coverage with a SELL recommendation and a 12-month target price of $11.20, built on a blended DCF and relative valuation framework. Our team placed 2nd overall as a Top 4 finalist in the CFA Institute Research Challenge.
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Financial Modeling
Lululemon's stock had dropped over 40% from its peak as the market priced in slowing Americas growth and tariff headwinds. We wanted to know whether the selloff was justified — or whether investors were underpricing the company's international runway and long-term cash flow potential.
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Python
Most technical trading rules are tested in isolation against a passive benchmark. We wanted to see what happens when the same signal is used to drive two strategies — a directional MACD trade in MSFT, and a paired long-short structure with SPY — and compare them on both return and risk.
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Financial Modeling
A decision model designed to answer: 'Which car is the better financial decision over time?' It compares present value by modeling depreciation, maintenance, insurance costs, and inflation-discounted cash flows.
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Python
Synthesized evidence across sectors (technology, manufacturing, services) on how AI adoption affects labour markets and skill demand. Built regression-based predictive modeling with secondary data to derive signals.
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