本帖最后由 Kakashi_8 于 2015-7-16 14:02 编辑
* L- L0 P# ?: R
2 B# Q! k$ y1 j, D5 M1 \7 pQuestion:6 Which of the following standards may be violated when investment advisors cover their own trading errors with compensating trades? A) 6 X) {8 C9 g, C
* \4 @% ]& x0 C5 p# l+ }
| Prohibition Against Plagiarism.
" E1 c5 Y& H, a, J; P* Y' p. }. h( c3 F) s# K7 j
| B)
6 L h4 p; ]( `9 `7 q# B/ w7 U0 a+ v! P. O3 F- C6 L. H# R: P, c4 ]# } n
| Disclosure of Conflicts to Clients and Prospects.
, ^! m/ o5 K* }7 m. w$ i0 A5 }7 N, f0 u$ \9 l6 C8 l
| C)
9 c) y) ^! _" \: U1 p/ B8 ^, r( L% t
| Reasonable Basis and Representations. 6 R/ @; K/ v P, L7 g+ w" x! P/ D- L
1 }7 k4 T* M0 F3 @- v. G- ^& n) R2 Y
| D) 1 Z. t8 l3 X$ z& P
& O9 |6 ^2 k6 G+ a | Independence and Objectivity./ ]2 [9 n9 K) L# f; X+ [% j0 |
9 a5 Y* D# N5 p" Q- Z9 T" Y3 B+ ~3 z
|
4 ?! @+ S/ u/ |4 v# P
- K8 j p- w3 ~4 g' ^
Question:7 Which of the following is one of the four requirements for meeting fiduciary obligations with regard to soft dollar arrangements? Commissions: A)
e; Q r( e$ N/ @3 O/ O) Q1 `8 r" _
% |8 r& h7 M$ C1 |# |" ~8 @: N- C1 @ | paid must be minimized.
. T' h7 E3 V* y3 b+ o. M, [7 e5 C; D: f5 j0 K
| B) + j$ g/ Q0 a7 W( K% j2 @% H" [
! |# |1 n& `, C | cannot be greater than normal unless the trades being placed are in compensation for a trading error.
7 `9 m0 g+ q Z5 u/ z
2 O* g" N, e+ N Q# e | C) / {9 U* M$ W1 j. w
; J* m3 I, R% a% w7 ^ | paid must be reasonable in relation to the research and execution services provided. & A0 T/ L2 M3 L1 h" F
: `; K/ Y! N, ^8 V$ z: k, q
| D)
+ J* L9 D( [% h+ J3 P' L4 ~- W. z% e v N G6 Q8 M7 I! e
| paid must be held in escrow for the benefit of the client. % U$ V( ?- y& b8 q' a
' D( W/ n% i$ ^- ]
|
1 l: q( t& d" m5 S. e0 x: ?1 k
% l) c0 N* _2 V2 g8 t m
Question:8 Which of the following statements regarding heteroskedasticity is FALSE? A)
5 h" p( W( u: z$ t9 k4 M* o j! F: `3 f* {+ G6 @
| The assumption of linear regression is that the residuals are heteroskedastic.
3 l0 @ L9 P/ {; P- o
$ `# {% L9 j* t2 e1 ` | B) & ]2 l2 u* ?# d6 ?) t* K& z1 w
( _3 t& F7 ^6 }( d | Heteroskedasticity may occur in cross-section or time-series analyses.
2 j" S, }& W5 u
1 T% A, u5 H9 n; |9 ^% R | C) 6 A. s/ g& h0 ]' l9 h8 u8 g' _
+ P" @/ Z ~ q3 f- ?$ A" Z9 N. n5 p1 G
| Heteroskedasticity results in an estimated variance that is too large and, therefore, affects statistical inference. 0 \% S% S9 A/ P: y, O, A; o
& h9 {/ M6 J( d8 T | D)
$ d1 `* c6 c! t" @& p; t$ i, S
3 v' t z: `# _4 {; O& y- F& {- B | Conditional heteroskedasticity is the case in which the residuals are correlated with the values of the independent variables. ; v& V8 N* D( {+ L! b" J
; i, H+ j$ O2 n$ e$ F3 v, U
|
9 p2 K( j/ W7 t
* U+ d3 T! x' Q& u0 ?% v w3 @9 L% P
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)
& B- X4 H& D6 k% A2 s, [2 S* u: q1 k8 [% P+ n' b8 S
| -0.55
3 f) @* D+ {/ c" w! T
% a X, _& `$ C2 a7 k8 n | B) ( b0 [% B `* Q
. z7 c5 J* G: F1 R: v. z9 \ | 5.83
0 I) M$ D0 f8 ]7 l" ?# g. z( O7 s) Q' ?8 c, o- P
| C)
$ D. T* q) d% }) G+ ]$ _7 C
/ F0 S" ?* G3 v3 w- @: } | 6.50 3 Q# Y8 Z& p% C A6 X% a
% E t7 E# R8 v | D) : {) { U0 b/ ?7 C8 p
# |+ {: `/ D" N: p; o/ m# h
| 2.83 5 Y. y! L6 V$ D3 p( M
1 t2 r; J3 a' g I6 ?- o |
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)
, @+ H& z- y( h1 z1 d4 H& m# m
# f$ M9 v, t5 ?9 p5 [ i | H0: σA2 = σB2 versus Ha: σA2 ≠ σB2.
: ]4 R0 ]* q, v; T# m7 e/ Y, Q# Z; g9 n
| B)
" J. l9 c/ [1 {* e9 w9 \6 ^9 _8 s+ M" {
| H0: σA2 = σ02 versus Ha: σA2 ≠ σ02. . P: ~ C7 A# X
+ y: |8 d0 X% i; Q
| C) 8 Q, N, ?. N( c5 S
. k9 k2 t& p. t9 i4 ^; @
| H0: σA2 ≠ σB2 versus Ha: σA2 = σB2. " L3 G# a0 r0 e4 p$ u4 Y
/ L( O: c5 |0 s8 F; ~, R% ~
| D) }( j D5 Y+ @# [! D, ^* M
+ \5 c! w9 }3 [1 |+ ^ | H0: σA2 > σ02 versus Ha: σA2 < σ02. | . y& g6 G ?' a% O
|