本帖最后由 Kakashi_8 于 2015-7-16 14:02 编辑
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# P+ i% z) W6 ~1 \" Z4 |( ]Question:6 Which of the following standards may be violated when investment advisors cover their own trading errors with compensating trades? A) 7 ~+ f; L* U$ g4 S" y( |
- ^5 K0 h8 R. D( e% E% ]. p | Prohibition Against Plagiarism.
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4 A8 Z: N0 ]. u) y! B: V# s | Disclosure of Conflicts to Clients and Prospects. ! `; l8 f* o- M" s# [- E
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| Reasonable Basis and Representations. $ }8 Q) Q# B3 W- V t! Z2 v2 k
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* U, M3 ?. X& l! T& o0 J( n, M | Independence and Objectivity.- P1 z l$ ]8 |7 H1 X8 @2 a# S
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Question:7 Which of the following is one of the four requirements for meeting fiduciary obligations with regard to soft dollar arrangements? Commissions: A) 0 W0 ]/ D! a' m' `! S1 h2 X
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| paid must be minimized. # R, V9 U V$ K, Z! D* b a$ N
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| cannot be greater than normal unless the trades being placed are in compensation for a trading error. " ]2 j7 k) ^8 {. k
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| paid must be reasonable in relation to the research and execution services provided.
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4 r3 \6 \1 v! o8 W% z: }4 r | paid must be held in escrow for the benefit of the client. . }( m! l$ P& g! p$ v7 b& P8 d
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Question:8 Which of the following statements regarding heteroskedasticity is FALSE? A)
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| The assumption of linear regression is that the residuals are heteroskedastic.
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| B)
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| Heteroskedasticity may occur in cross-section or time-series analyses.
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| C)
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$ w; v7 s' w# k" A( W% r3 Q | Heteroskedasticity results in an estimated variance that is too large and, therefore, affects statistical inference.
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. Y2 m. c9 N$ `) ?1 T; U7 S | Conditional heteroskedasticity is the case in which the residuals are correlated with the values of the independent variables. 7 Y# k; S% f' v. r9 |+ |3 _- Q
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Question:9 Given: Y = 2.83 + 1.5X What is the predicted value of the dependent variable when the value of an independent variable equals 2? A) 3 P6 c4 e9 j) s5 J8 p
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| B)
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| 6.50
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Question:10 The variance of 100 daily stock returns for Stock A is 0.0078. The variance of 90 daily stock returns for Stock B is 0.0083. What are the hypotheses to test whether these variances are different from one another? A) - k! K! O. C5 {7 k5 `1 |
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| H0: σA2 = σB2 versus Ha: σA2 ≠ σB2.
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| B) 6 O" C! J5 e, U: ]# M/ ^/ G% w
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0 w& s7 H. ]7 Q6 J" o2 ^ | H0: σA2 ≠ σB2 versus Ha: σA2 = σB2.
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| H0: σA2 > σ02 versus Ha: σA2 < σ02. | 9 K9 ~: s4 x4 j# P! e8 e, t1 }' C5 c% \
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