本帖最后由 Kakashi_8 于 2015-7-16 14:02 编辑
5 j/ e* O2 ~, C' @
. R/ V! v, l1 z0 _Question:6 Which of the following standards may be violated when investment advisors cover their own trading errors with compensating trades? A) 8 ~) M) ]" w8 n" g) L# o- j
. m$ Z4 U" f1 Q* B7 P | Prohibition Against Plagiarism. ' a3 F& P- U$ C, I; {9 D
8 l0 N9 P) {- F3 L9 F- k8 W' }
| B)
) b n: W1 J2 j+ O7 O. v7 I& C2 f4 ]; C5 b) c! _; C4 _
| Disclosure of Conflicts to Clients and Prospects. ( m1 y* X c0 G B9 \! x
- s5 c8 N$ y. ^2 R% ^1 S | C)
; {' d) V1 c6 s, s7 B! S* W
6 e; X4 O$ I7 N) ]( ~ | Reasonable Basis and Representations.
8 C% P/ V) C, O1 c! S& K9 q4 N" ?2 H% d
| D) , g* S" U$ Z/ C! C3 O
( E( f! F& [( y
| Independence and Objectivity.9 Y: m2 |6 q8 R# p. P' B9 @( a
) C% |% w l p& y& w" g7 V& |8 v8 e8 A |
6 v: `" ^$ w0 T! S1 x
* X) z+ R5 }- |# v6 A% ^5 {3 {
Question:7 Which of the following is one of the four requirements for meeting fiduciary obligations with regard to soft dollar arrangements? Commissions: A) ( L% C' Z* e/ W) m% H" Y+ U
- E6 j) i3 `& g& k$ G& S
| paid must be minimized. % v/ n# f" K) a, g
4 Z: J: |+ @8 o/ ]) V
| B) / p7 a" _6 @( U% }: N
2 ~1 ]- u$ e$ ?5 P0 k5 c | cannot be greater than normal unless the trades being placed are in compensation for a trading error.
9 Z0 Q; B- A0 j: p" `4 p7 X6 M7 Z% ]' R+ Y! }! U5 W
| C)
- g) m/ V( n* L' X5 x% k. n% Q3 `7 V6 ~
| paid must be reasonable in relation to the research and execution services provided. ; Z8 ~+ T/ ^2 S- k; T$ L4 M
) r' r. L8 t. f- i8 W
| D)
% u# k8 J, `) I5 T5 G8 S. ?1 ?4 z4 O! C3 O) x: u) ?( B! ~7 g
| paid must be held in escrow for the benefit of the client.
# |- B' \* \; R* N/ V
1 D1 E) [5 D& ]+ V* t |
/ d! O0 ~" Q4 W9 `1 d
; v+ B- J# D. ^8 p( w, _, p% E
Question:8 Which of the following statements regarding heteroskedasticity is FALSE? A)
$ ? d, b" h/ y; p
# Q: {. p& `( f | The assumption of linear regression is that the residuals are heteroskedastic. O. |0 J5 w/ ] I1 Q3 P) {: ]
M6 m8 G# S& E9 c+ |' E' L: c
| B)
: A. ]; B# \; ?1 k9 R) f$ S. d, Z
| Heteroskedasticity may occur in cross-section or time-series analyses. 8 v2 `2 A* O, m, p8 P0 |
# x! ?; F3 h3 z
| C) % a% X$ m/ e* q2 p1 R7 p
8 ~& i2 A& f/ ] | Heteroskedasticity results in an estimated variance that is too large and, therefore, affects statistical inference.
i, U3 C4 m$ O* B& J/ ~5 ~, |3 D6 ]$ e
| D)
; U% @# s! j* `9 Y, _, F
$ J2 V( C4 E4 n. u9 H | Conditional heteroskedasticity is the case in which the residuals are correlated with the values of the independent variables.
' K7 | L f; ?2 ~1 F, d' H! x9 _0 p9 X6 a6 L3 s2 T
|
+ U* v! G5 t5 R) M
- k; S' F9 ~+ i3 X0 b6 K
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) 2 J1 x+ Q9 U9 A5 e$ s: u
0 F0 Z! F8 {# x2 G8 h& _ | -0.55
4 h0 k; x1 o0 w( L$ v* }+ r! M! u/ G/ t+ n; X
| B) * A3 a# v- c6 c& O' G
# S7 _# d0 k* @* `1 N" y" d X* Q# [& f | 5.83
3 q" S+ U9 D+ l
$ B$ L4 f# I* p3 |0 r3 r: e5 {% H | C)
' _7 g1 d. |; Q1 U
) n/ L5 Q/ N$ S$ V& a | 6.50 ; t. F. c/ \! a- Z6 Q
+ ?0 U# ` C& @, D, B; k | D)
- H% D1 w( A7 J- ^1 M: o' ?- A# Y5 a- x. d3 F, ~9 p( G; Q( p
| 2.83
# ]3 Q0 G. g, u8 y% c4 n
5 F7 Z& e5 N. e, F) q |
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) " F* M' w. o0 C! K) ~. N+ O
: X/ N9 Y( `5 H, X+ j0 U3 \0 G" p | H0: σA2 = σB2 versus Ha: σA2 ≠ σB2. , |5 D( A' ]: Z, K0 f8 W" Q
! n/ B' U7 E5 f! p6 ]$ p
| B) 1 k k! r5 c( I
" D/ ~$ a$ t. V, z | H0: σA2 = σ02 versus Ha: σA2 ≠ σ02. - y4 Y9 H" H! Y; D4 O: i1 k/ W- B# ?
O8 h1 j' Q( q4 P3 ]# }" }! p | C)
% m9 b' R8 T v! w+ T, Y, D5 f* Y7 S* I" @& |
| H0: σA2 ≠ σB2 versus Ha: σA2 = σB2. & H8 [) h& g$ J, `
5 E L k7 J7 m7 ~: _! [3 o | D) ) f$ S3 u+ B, L7 ?: S9 X6 X
* E4 X" W9 m) V% z2 m' w | H0: σA2 > σ02 versus Ha: σA2 < σ02. |
( l* ^4 q; W2 H. e6 ^: z0 x |