本帖最后由 Kakashi_8 于 2015-7-16 14:02 编辑
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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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| Prohibition Against Plagiarism. 5 \" i7 o; Z/ j& z) D, f* T
& s4 v5 s, r8 a. G: ?- P8 Y | B)
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. N& M Y* ]( j. j0 i3 l | Disclosure of Conflicts to Clients and Prospects. ; _1 v+ v- |3 ~9 v9 b# d# _. u
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' i" T, I* T; E8 g1 j; R5 m0 o) w | Reasonable Basis and Representations.
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2 c/ E* L% I* v! V8 |3 Z5 B | Independence and Objectivity.1 ~1 Y5 f3 ?) D( {& v
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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) " k& L+ M8 `7 C8 i
& @. k* |8 U. ` I7 ` | paid must be minimized. & a8 B Q1 ]6 P9 ]
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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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| C)
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| paid must be reasonable in relation to the research and execution services provided. $ P, @3 l* h# T& o
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{( J' u9 ^- c1 V2 B; y | 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)
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" k1 I+ `$ @5 a, \ | The assumption of linear regression is that the residuals are heteroskedastic.
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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. ; t5 k% ~% t; {
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1 o1 i- j5 s. U" n4 _( O" }5 t& M | Conditional heteroskedasticity is the case in which the residuals are correlated with the values of the independent variables. 5 Z8 W& g# h" I
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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) / `$ e0 w" D0 J1 F: j0 z: {
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/ w; Q, _8 w' g% X! g3 b6 R | 5.83 * t9 p% r. g* L
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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)
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7 P4 u/ ?( I" E1 z& r) K$ H( B | H0: σA2 = σB2 versus Ha: σA2 ≠ σB2. & W. C! M/ M7 D# f& L% t
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9 }! q/ t) @% n' b2 s1 z3 ?( y | H0: σA2 = σ02 versus Ha: σA2 ≠ σ02.
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0 b- {- |. {/ b, R6 v; \ | H0: σA2 ≠ σB2 versus Ha: σA2 = σB2. 8 O M% E! P9 c' p* u
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| D)
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1 U+ y" ]1 e) R! a- B8 d | H0: σA2 > σ02 versus Ha: σA2 < σ02. | , k/ t* ]1 \, K
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