本帖最后由 Kakashi_8 于 2015-7-16 14:02 编辑 M0 K: ^- ?, Z' m- k C$ R" Z
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Question:6 Which of the following standards may be violated when investment advisors cover their own trading errors with compensating trades? A)
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! ^( U/ y2 G/ g8 Y4 s/ ~- P | Prohibition Against Plagiarism. 3 R P& Y x) A# y, C' R) x
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" a6 |$ ?4 z/ v' a | Disclosure of Conflicts to Clients and Prospects.
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! K9 K9 r3 H, k( z) r; i | Reasonable Basis and Representations. 0 s& A& R: B; L/ Z+ t; n+ F; A. T
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| Independence and Objectivity.5 ]1 q' o) ], \! a
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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) ) G n- [& v! i4 d/ F8 H' j+ T$ f
. O# y3 P2 G c3 T' a+ Z$ {2 E! m | paid must be minimized.
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| B) ! L6 U+ z& P. F. x D4 y; S
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| cannot be greater than normal unless the trades being placed are in compensation for a trading error.
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3 U! q- c& p$ ]& w) n; m | paid must be reasonable in relation to the research and execution services provided. ; R: U3 i% S6 s4 l9 b w* ]
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| D)
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| paid must be held in escrow for the benefit of the client.
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Question:8 Which of the following statements regarding heteroskedasticity is FALSE? A) # e3 ]+ R6 s V: ]* \7 G5 D! N
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| The assumption of linear regression is that the residuals are heteroskedastic. : D: J& b: c' R+ U3 g1 X/ x
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| B)
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| Heteroskedasticity may occur in cross-section or time-series analyses.
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| Heteroskedasticity results in an estimated variance that is too large and, therefore, affects statistical inference.
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| D)
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| Conditional heteroskedasticity is the case in which the residuals are correlated with the values of the independent variables.
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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)
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% u/ J; _3 [1 k$ V | -0.55 2 X. k) ?1 q Q9 a, [; E, M
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| 5.83
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d( h" L( S/ X t$ P | 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) ( s- B) Z1 y6 H, ^4 {3 J
* g3 x* E2 Q# F5 c | H0: σA2 = σB2 versus Ha: σA2 ≠ σB2.
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| H0: σA2 = σ02 versus Ha: σA2 ≠ σ02. , ]9 Z$ n: L( @! U
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| H0: σA2 ≠ σB2 versus Ha: σA2 = σB2.
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| H0: σA2 > σ02 versus Ha: σA2 < σ02. | $ a3 _, ]0 @" E
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