本帖最后由 Kakashi_8 于 2015-7-16 14:02 编辑
6 K& X/ H& M# @/ T9 C8 H7 ^% d- ^% M2 Z' ^, G% ^* l- E3 y
Question:6 Which of the following standards may be violated when investment advisors cover their own trading errors with compensating trades? A)
2 Q0 C8 Z2 o" D- t' `: b$ L! {% w2 d9 `
| Prohibition Against Plagiarism.
+ p4 r/ I' }0 L3 \% [* X3 e
! M# Z/ L% \/ {# e2 @ | B)
. c- n1 M" n3 M1 g7 e1 i \4 ^6 I6 i& n( L- R! M r+ l) y
| Disclosure of Conflicts to Clients and Prospects. / [' B9 P9 S4 G& a" X+ G
8 y* \% e$ S( e" q! H3 K
| C) ; C# b4 x4 Z/ G+ C: l& @, _# @
/ Z" K$ J: i2 q1 ] | Reasonable Basis and Representations. # t) V/ J* f* B5 d# A
& x( U5 `$ L, o% d$ |; m( K0 W
| D)
; n) s4 j. v, g& ~0 f% N) E, E/ G/ S$ \( L" u3 B3 h
| Independence and Objectivity.
9 _+ H9 b' _& J/ o% y, q8 m: g4 L5 R1 g
|
$ c+ ?# y. s' g( `2 k
9 X3 x" \- F! o0 U/ J1 @. v; W/ [
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! H$ T) G# C2 x" p
4 ~3 h6 r! a3 B4 g, {, [7 Z
| paid must be minimized. : s# w* s/ `; s
2 c( j1 \9 v6 W- ^, d7 q8 D | B) 6 Q2 f j( J. N, c! L; n$ z' t
- s. b( e6 ^- i2 N0 e% ]% N" F9 y3 k
| cannot be greater than normal unless the trades being placed are in compensation for a trading error. ' B- t! Y* s4 S) [
" L6 h1 x7 K E: Q0 ~$ ]0 b
| C)
; `, H% H t2 v: v6 Y- v
2 s2 Y1 w) P# A% c$ J% s+ v | paid must be reasonable in relation to the research and execution services provided. " ?- Q+ h' \ O8 Z& k7 s
' E! r" Q/ E U! B! V$ ~* Y6 r
| D) & E* H& A: I" l+ i& X& t/ O
5 Y8 a; A2 L# t) \3 E# G | paid must be held in escrow for the benefit of the client. 1 @0 l, z& k6 H: @* ~
+ U% F2 V9 J2 m! D- U |
" `2 W u% k4 B# E
& U5 z" D; V# D3 T- n5 N6 l+ V- u" }
Question:8 Which of the following statements regarding heteroskedasticity is FALSE? A)
4 |3 x$ T& Y% t/ U g) c% t0 l2 r9 W7 ?
8 Q/ }7 P) k9 a% z | The assumption of linear regression is that the residuals are heteroskedastic. % j( o8 y; ?5 w
. R1 @5 e. O Y" u
| B)
6 [6 l) q$ | t! L% [1 N( x0 {/ {0 C# k
| Heteroskedasticity may occur in cross-section or time-series analyses.
! k/ O' c) m2 d+ ^/ s7 O) e( P% {' z- }; S- e
| C) ( g9 F) w' T2 L2 b+ W! l
) ? y( u: y9 T* ~+ s8 k' M
| Heteroskedasticity results in an estimated variance that is too large and, therefore, affects statistical inference. X$ x: v* n0 p% }5 ] T
/ M3 g9 y6 [/ Z$ u; g
| D) 9 ~( E& y' |. J5 e" G" ~
; m) A9 ~; F1 C# p' G | Conditional heteroskedasticity is the case in which the residuals are correlated with the values of the independent variables.
0 v, k/ x/ w+ s; N7 F. R! A2 q ^) D9 s1 ^% F2 B
|
* v5 y( z0 e; }1 l0 c- K. a
5 ~4 g/ l' f' j: C) J' N
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) 4 O$ \6 }: V$ t, s! z' [
7 H: R; T2 y; P3 G t" Q | -0.55
! ^# \4 l/ I- F" G3 ]6 ]* D( r2 b" |3 g
| B) ) \: b! z. O$ u
9 h0 h x! y. Y+ U. E0 g3 ~+ ~
| 5.83
: V% N; ]9 Z2 v8 j& ]- y' |6 b3 P) \' k5 Y
| C) 6 W! |; ]! E. }
- n& h# o0 Y, x) Z) A4 h& \) b | 6.50 5 M5 `; X( q& U
" D0 `7 v5 v8 W. H
| D) 5 U7 _& y( R: M/ j4 d( a1 m
5 s- b) [! {$ c4 r
| 2.83
! P' H; ?- N, x8 R$ F, k$ B, _5 F+ Q- U, W: f
|
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) 1 C& S. h1 @( |3 ~
* g k2 L( z0 x | H0: σA2 = σB2 versus Ha: σA2 ≠ σB2. 8 j) c; I+ R' F; M% Z
6 [ X, s1 M5 T) b | B)
* v- T O4 c3 S- U7 S$ V
* C1 k% U3 E# J# d3 f | H0: σA2 = σ02 versus Ha: σA2 ≠ σ02.
( o& W7 C! Z h" r2 C! h
- n _& E% C) ~; \' q! ] | C) a+ r- x+ L9 F) W- Q$ c
2 z' j/ ^! L( V, S) k
| H0: σA2 ≠ σB2 versus Ha: σA2 = σB2.
) B" `5 S k G0 n) e& b
6 y* c/ T" h7 X, j9 ^) Q& I1 T, X | D)
& v9 m: L/ U! @, n$ k* X% ]) p
+ O4 j' ]& v+ @) P: [2 [) l4 C | H0: σA2 > σ02 versus Ha: σA2 < σ02. | " ]" }( P5 ^. p; Y `! Y- c
|