The weak form of efficiency states that past historical prices have already been adjusted for the information in their price so price patterns can not be used to generate excess return. This price pattern is a part of technical analysis.
The correct answer is
Technical analysis.
Which of the following can be used to examine weak form efficiency? Runs test. Serial correlation...
which of the following is correct, when we have pure serial correlation in a regression? 12 Multiple Choice ) we can use first differencing model only if the serial correlation is first order. 0 the error terms of the first differnced model are not serially correlated. ) if the first differenced method is applied correctly, the coefficients of the regression are unbiased and efficient O All of the above choices are correct
Which of the following statement(s) is/are false? I. In an efficient market (strong form efficiency), fundamental analysis still provides value to an investor II. Based on the semi-strong form of the efficient market theory, an investor reacting immediately to a news flash on the television generaly cannot make a reasonable profit. III. Retail investors prefer weak form efficiency over strong form efficiency I only O ll only Ill only O 1 & Ill only O None of the above answers
Technical Analysis, properly conducted, will, on average, produce market beating returns according to which market efficiency hypothesis? Technical analysis should not be able to produce consistently market beating returns, regardless of the market efficiency hypothesis. Weak Form. Strong Form. Semi-Strong Form.
Correlation analysis can be used for which of the following situations? Choose the correct answer below. A. All of the above. B. Finding association between age and income. C. Finding association between age group and income. D. Finding association between age group and income class.
Chapter 08 Practice Test Question 05 Forms of Market Efficiency in the following Venn diagram of forms of market efficiency the I. is the II. is the and the III. is the points Skipped eBook Print Multiple Choice References O strong form; semi-strong form; weak form weak form; strong form; semi-strong form weak form; semi-strong form; strong form o oo strong form; weak form; semi-strong form
Which of the following would be a violation of weak form efficiency? Transportation compans' share price drops after a sudden rise in oil prices. Companies with higher beta earn higher returns. Insiders are unable to earn abnormal returns by trading in their company's stock. Returns on Fridays are higher than returns on Mondays, on average.
Serial correlation, also known as autocorrelation, describes the extent to which the result in one period of a time series is related to the result in the next period. A time series with high serial correlation is said to be very predictable from one period to the next. If the serial correlation is low (or near zero), the time series is considered to be much less predictable. For more information about serial correlation, see the book Ibbotson SBBI published by...
Serial correlation, also known as autocorrelation, describes the extent to which the result in one period of a time series is related to the result in the next period. A time series with high serial correlation is said to be very predictable from one period to the next. If the serial correlation is low (or near zero), the time series is considered to be much less predictable. For more information about serial correlation, see the book Ibbotson SBBI published by...
Serial correlation, also known as autocorrelation, describes the extent to which the result in one period of a time series is related to the result in the next period. A time series with high serial correlation is said to be very predictable from one period to the next. If the serial correlation is low (or near zero), the time series is considered to be much less predictable. For more information about serial correlation, see the book Ibbotson SBBI published by...
Serial correlation, also known as
autocorrelation, describes the extent to which the result
in one period of a time series is related to the result in the next
period. A time series with high serial correlation is said to be
very predictable from one period to the next. If the serial
correlation is low (or near zero), the time series is considered to
be much less predictable. For more information about serial
correlation, see the book Ibbotson SBBI published by...