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Quant case studies, worked step by step

Cases
100
Traced to a firm
43
Topics
11
Hard
30
Topic
All topicsSignal research and data tasks10Options and volatility trading10Market-making games14Portfolio construction10Strategy evaluation and backtests9Execution and market microstructure8Fixed income and credit8Regression and model review8Risk measurement and limits9Statistical arbitrage and event trades8Position sizing and bankroll6
Level
AnyWarm upCoreHard
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AnyReported at a firmStandard
Showing 21–30 of 57 · filtered from 100Clear filters
  1. 038You are short 1,000 calls struck at 500 on a stock at 500.2, thirty minutes before expiry, hedged with 500 shares. What is your exposure after uncertain exercise, and would you close the position?Options and volatility tradingCoreOptions market makingRisk quant→
  2. 039A market maker's quotes update 200 microseconds after the index future moves. Faster traders pick off 30% of its stale quotes over 50 moves a day, each costing 3 ticks of 5 paise on 500 shares. What does latency cost a year, and is a Rs 2 crore co-location upgrade worth it?Execution and market microstructureHardExecution and microstructureOptions market making→
  3. 040Daily card-spend data covers 8% of transactions for 60 listed retailers and arrives with a 3-day lag; results come out 45 days after quarter end. How long is the information window, and how precise can the estimate be?Signal research and data tasksCoreQuant researchSystematic hedge funds→
  4. 041A company's 5-year bond trades 450 bps over government with 40% recovery assumed, while a structural model on its equity implies a 3% annual default probability. Back out the market-implied default rate, compare the two, and say which instrument looks mispriced.Fixed income and creditHardFixed income quantQuant research→
  5. 042A manager runs a 3% tracking-error budget with equal active positions in five stocks, each with 30% idiosyncratic volatility and uncorrelated. How large can each active weight be?Portfolio constructionWarm upPortfolio constructionSystematic hedge funds→
  6. 044A book holds Rs 100 crore of equities on Rs 25 crore of capital with a 15% maintenance margin. What fall triggers a margin call, and what daily volatility would make that a one-in-twenty-day event?Risk measurement and limitsCoreRisk quantSystematic hedge funds→
  7. 045A trader with Rs 50 lakh of risk capital stakes 5% of current capital per trade at a 52% win rate with even payoffs; the desk stops her at a 30% drawdown. How likely is the stop, and what changes at 2%?Position sizing and bankrollCoreProp trading firmsQuant trading→
  8. 046The near-month index future is at 22,150 and the next month at 22,280, 28 days apart, with funding at 6.8% and a dividend yield of 1.2%. Is the calendar roll rich or cheap, and what does the roll trader do?Statistical arbitrage and event tradesHardSystematic hedge fundsQuant trading→
  9. 047You track the hedge ratio between two cement stocks with a Kalman filter: prior beta 1.00 with variance 0.04, process noise 0.001 a day, and a new observation implying 1.20 with noise variance 0.02. Run two updates and explain the gain.Regression and model reviewHardQuant researchQuant trading→
  10. 052A signal has an information coefficient of 0.06 at one day, 0.045 at five days and 0.03 at twenty days. Cross-sectional daily volatility is 2% and a full rebalance costs 20 bps round trip. Should you rebalance daily or weekly?Strategy evaluation and backtestsCoreSystematic hedge fundsQuant research→
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