
finecono 1
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9 questions
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1.
MULTIPLE CHOICE QUESTION
5 sec • 1 pt
What is financial econometrics?
The study of financial markets using economic theories only.
The application of econometric techniques to analyze financial data and markets.
The practice of managing financial portfolios.
The study of economic policies affecting finance.
2.
MULTIPLE CHOICE QUESTION
5 sec • 1 pt
Which of the following is an application of financial econometrics?
Estimating the impact of fiscal policy on inflation.
Forecasting stock price volatility using GARCH models.
Analyzing consumer preferences for marketing purposes.
Setting exchange rates for international trade.
3.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
What is high-frequency data in the context of stock market prices?
Data measured at the end of each financial year.
Data recorded every time there is a trade or a new quote.
Data averaged over weekly trading sessions.
Data collected only during market crashes.
4.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
What should you be cautious of when working with small samples in financial econometrics?
They may not include all high-frequency trades.
They may lead to biased or unreliable statistical results.
They are too noisy to analyze.
They are only useful for short-term predictions.
5.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
What is an essential consideration regarding the data used in finance research?
Whether the data is old enough to show long-term trends.
Whether the data comes from a reliable source and is of good quality.
Whether the data includes only stock prices.
Whether the data is free from seasonality.
6.
MULTIPLE CHOICE QUESTION
5 sec • 1 pt
What is a critical aspect of interpreting results in finance papers?
Ensuring the results have been exaggerated to emphasize findings.
Ensuring the results address the research questions posed by the authors.
Ensuring the results are visually appealing
Ensuring the results avoid controversial conclusions.
7.
MULTIPLE CHOICE QUESTION
5 sec • 1 pt
Why is a sample often used instead of the entire population?
To avoid analyzing irrelevant data.
Because analyzing the entire population may be infeasible or unnecessary.
To ensure results are biased toward specific outcomes.
To simplify statistical methods.
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