A Markov decision problem is NOT defined by:

In the movie, The Big Short, what happens at the end as a reaction to the financial meltdown?

In Reinforcement Learning, the default MDP has an assumption of infinite horizons. To overcome that, we introduce a concept of ________ rewards. Multiplying the reward by gamma raised to t. Where gamma’s limits are ___< gamma

A Markov decision process is defined by:

Suppose the SMA (Simple Moving Average) for a stock stays relatively flat over a period of time. That suggests:

Assuming the semi-strong version of the Efficient Market Hypothesis is true, which of the following forms of analysis can be successful?

In The Big Short, how did Dr. Michael Burry (Christian Bale) handle the fact that no financial instruments existed to short mortgage bonds?

Mean Variance Optimization (MVO) uses a set of inputs to return a set of asset weights that minimize risk for target return. Which of the following inputs is NOT used in MVO?

The Information Ratio (IR) is the same calculation as _____, but only on the “skill” portion of the return. (Fill in the blank)

Suppose you write a naked call option for a stock with a premium of $3.14 per share. If you write one contract controlling 100 shares, what is the maximum loss you could experience?