本帖最后由 Kakashi_8 于 2015-7-16 14:02 编辑 7 O* p: ?4 w) U* }
) } |7 \ a2 A7 l) C( ]2 eQuestion:6 Which of the following standards may be violated when investment advisors cover their own trading errors with compensating trades? A) % T* W4 E v/ Q- n: y: a1 M5 d& n k
* m6 h/ S* N# M9 { d | Prohibition Against Plagiarism.
2 I) ~9 K3 U9 r+ `
: L6 d! ]( B1 T: s, M! ] | B) 8 `6 ?7 O5 {" Y' n& G
* ^0 P/ C- h8 f: [- P0 N/ {
| Disclosure of Conflicts to Clients and Prospects.
6 x9 z7 j8 B# n! \ [/ G2 T. O
| C) * i/ O7 c/ B- l; ?& K: j
$ Z; C0 l- w4 A& c( P1 M
| Reasonable Basis and Representations. ( n3 V: n$ z: t2 Y; l5 g7 v
/ I- \* s& w( z" i' I2 I
| D)
" L/ t" M) x" P. Y$ m
; n% o: w1 w/ {% x. S8 k+ { | Independence and Objectivity.- |2 l9 b+ C" k) g/ x6 Y+ c8 H
% W0 q: N2 B; B8 h( @8 e
|
" Q. u Q* z$ {7 X
1 Q1 U1 M' ?" p5 I6 v
Question:7 Which of the following is one of the four requirements for meeting fiduciary obligations with regard to soft dollar arrangements? Commissions: A)
% j j/ B" ~, C: e+ a0 H: \
4 G0 _: T* q7 p: m6 v | paid must be minimized. ) P! l2 K/ L4 D) X5 Z% K
7 J" Y4 ?8 H4 E. O
| B) 2 i7 x+ T+ w* E( F
- c( J! M6 ?" J( v" w* P
| cannot be greater than normal unless the trades being placed are in compensation for a trading error. 1 @$ i- u' q. q% z" J
. A: D/ P# O5 G; ]" i | C)
5 ^4 o2 x5 } u( q, I4 U* s- u6 F ]* f& p" ?/ I3 F* O* a9 q
| paid must be reasonable in relation to the research and execution services provided.
4 h+ r. `+ w* `" t! O* ?! B/ m: r3 S! R
| D) 4 n3 r+ I+ e( ^7 ]( E7 r
) A, y8 b: Z( t0 V, L- T; {! d6 x% v
| paid must be held in escrow for the benefit of the client. 9 i; h7 s, G4 T" z- ?1 r/ T( d$ x
3 e4 V) E/ I+ N: x0 n% R2 Q7 h |
: t$ P6 v- K0 V# ~* n# y: }7 ^% X3 P$ ?
" ?9 {$ y" r; E& T: K3 L6 G
Question:8 Which of the following statements regarding heteroskedasticity is FALSE? A) ) y/ O* o4 `( d; _ ?. D
+ B3 }5 g" j( U$ o" L | The assumption of linear regression is that the residuals are heteroskedastic.
: p7 Y( o) l- D& E1 D4 `0 P/ |( V6 F/ N7 E; {
| B)
& x: F5 |0 ~, L6 ]9 n# a4 B8 z
& A+ B- W/ A ]: h! \$ V1 e | Heteroskedasticity may occur in cross-section or time-series analyses.
" @: h5 Q: I1 _. S7 {3 Y5 a6 l1 g \1 Y0 j6 z
| C)
, Y6 d2 ?4 b4 C' M' ^' G, Q: i
- ?# ^) |/ E5 C- m4 f) w | Heteroskedasticity results in an estimated variance that is too large and, therefore, affects statistical inference. ) q# D* F4 ^* V$ l# v/ R1 P
% b$ x" F) q- _4 v! D9 v, g" b | D) # \, J2 r. \* n
( M6 `$ f* W( `. L
| Conditional heteroskedasticity is the case in which the residuals are correlated with the values of the independent variables. 6 a' Q, y0 ?2 k
3 |" g. n3 @# X$ o# B, T; a |
4 J- [; l( s" b
9 M7 B( Z. h/ U* 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)
. }6 G) w9 f: O( |7 m9 X
2 n4 N4 O6 h+ ]6 n: \ | -0.55 * ~& [) K. `+ [* y- j) f5 S! O8 D6 N
# C! d) D6 E! l1 e2 P' l
| B)
0 ^/ _7 a& o U
2 Z ^- O+ R1 `! ^2 K( v1 D | 5.83 1 f# M8 H( [/ {: a! L
# y% L; t- R6 _# @' P* x, j* J; ?
| C)
) `+ i3 @- y+ K8 @1 y8 y
k0 |3 `0 g+ p: I | 6.50
3 B6 z, X4 g' g# c
- `1 \" z- F: e& i | D) " s7 ^# y' M! R0 {
3 S6 `! R* V/ j5 P9 }
| 2.83
1 B- v' t: v' v% \4 t
: V7 J5 o9 t2 c/ P) M: v |
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)
- G1 n1 z0 G4 }+ P9 A; V& m/ y9 M. L& D' u. b
| H0: σA2 = σB2 versus Ha: σA2 ≠ σB2. $ }) P [* Z% h* B, p& b8 r& N% T9 P
) {1 M# m1 P' j
| B)
+ L9 o1 u' A8 ?! R$ i1 {$ [8 s, o) v7 [: {0 V3 W4 |0 ?
| H0: σA2 = σ02 versus Ha: σA2 ≠ σ02. # Z5 D0 G0 C) o' U
& l3 |% b0 X: z6 q7 |+ Y! g | C)
6 i9 `* l b; Z1 {' i# B: s! S7 A: s0 k& N0 h( [% s) y; S
| H0: σA2 ≠ σB2 versus Ha: σA2 = σB2. 3 K, m& c/ H# c' H% ]- K- H$ j& ?
f# f; t; h% \5 Q u | D)
) J4 B [' q9 Z5 S5 P! H- g5 ^3 V k; Z `" m
| H0: σA2 > σ02 versus Ha: σA2 < σ02. | ; J, S& \3 K7 o
|