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NEW QUESTION: 1
Which of the following statements are true:
I. Implied volatility refers to volatility estimates made by risk managers for their VaR calculations II. Implied volatility is generally observed to be constant across strikes and expiries, as otherwise we would have riskless arbitrage possible.
III. Volatility smile refers to the shape of the implied volatility curve across different strike prices IV. An option portfolio cannot have negative theta
A. III and IV
B. III
C. I and III
D. I, II and IV
Answer: B
Explanation:
Explanation
Implied volatility is the volatility that is priced in the current market prices. In other words, we know the formula for pricing an option, and we find the value of the volatility for which we get the current market price.
It is the volatility that the market is ascribing to that security. Therefore statement I is not correct.
Implied volatility in the market tends to vary across strikes, even with the same underlying. There is a certain level of demand for out of the money puts, for example, from investors trying to set a floor for their losses. At the same time, there is a natural supply of out of the money calls from investors trying to earn some relatively risk free premiums. These factors cause options with different strikes to be priced in a way as to give different estimates of market volatility at each strike *& resulting in the 'volatility smile'). Therefore statement II is not correct.
The shape of the implied volatility curve is called the 'volatility smile', because of the shape it sometimes takes. Statement III is correct.
Theta is the rate of change of an option's price with the passage of time. It causes the value of the option to decrease over time, such that if it is out of the money and close to expiry, the price of the option approaches zero. Theta is therefore negative by definition. Statement IV is not correct. Remember that theta will be positive for short positions.

NEW QUESTION: 2
モデルトレーニング要件に適した早期停止基準を実装する必要があります。
ソリューションの開発に使用する必要がある3つのコードセグメントはどれですか？回答するには、適切なコードセグメントをコードセグメントのリストから回答領域に移動し、正しい順序で並べます。
注：回答の選択肢の複数の順序が正しいです。選択した正しい注文のいずれかのクレジットを受け取ります。

Answer:
Explanation:

Explanation:
You need to implement an early stopping criterion on models that provides savings without terminating promising jobs.
Truncation selection cancels a given percentage of lowest performing runs at each evaluation interval. Runs are compared based on their performance on the primary metric and the lowest X% are terminated.
Example:
from azureml.train.hyperdrive import TruncationSelectionPolicy
early_termination_policy = TruncationSelectionPolicy(evaluation_interval=1, truncation_percentage=20, delay_evaluation=5) Incorrect Answers:
Bandit is a termination policy based on slack factor/slack amount and evaluation interval. The policy early terminates any runs where the primary metric is not within the specified slack factor / slack amount with respect to the best performing training run.
Example:
from azureml.train.hyperdrive import BanditPolicy
early_termination_policy = BanditPolicy(slack_factor = 0.1, evaluation_interval=1, delay_evaluation=5 References:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-tune-hyperparameters

NEW QUESTION: 3
Which sequence represents the flow of steps that developers use to collaborate with regard to Jazz source control?
A. rebase, checkout, checkin, deliver
B. checkin, deliver, accept
C. accept, checkout, deliver
D. checkout, checkin, baseline
Answer: B

NEW QUESTION: 4
You are a test developer using Microsoft Test Manager (MTM).
You have copied a test case that has five parameters.
You need to change the parameter names in the new test case and keep the parameter
values intact.
What should you do?
A. Replace the existing parameters with new, renamed parameters.
B. For each parameter, click Rename parameter in the Parameter Values pane.
C. Copy and paste the data values from the old parameters into new parameters.
D. Edit each test step and rename the parameters.
Answer: C