What type of learning is needed when the system needs to adapt to rapidly changing data?
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Read the case carefully and answer the questions given at the end: CALLS PUT A B C Months of expiration 3 9 3 Continuous yearly risk-free Rate (Rf) 10% 10% 10% Discrete yearly Rf 10.52% 10.52% 10.52% Standard deviation of Stock returns 40% 40% 40% Exercise price Rs.55 Rs.55 Rs.55 Option price Rs.2.56 - Rs.6.20 Stock price Rs.50 Rs.50 Rs.50 Cash Dividend Re.0 Re.0 Re.0 1) Why should call B sell for more than call A? 2) Is the put call parity model working for options A&C? 3) Calculate the Black Scholes values of call A & Call B?
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Mention whether nsobject is a parent class or derived class.
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Can you do without a framework?
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