Finanzmarktanalyse I

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v. FINAN2MARKTANALKEI » / •_ ion HANS-Jötä BOTTLER / Ehtö&w tiptotoxrtt, fäm ffxt&wM/M 2. Tnyeäjtöfi unter Sichertet 3. 4. Erfäteidofg w&r tötöd&M 6. MtieÜMft- faiiûtë-faû/y&
—/— S. ZUÔTANVS-PMFEREMl-mO/VE A. Z/e^- Opt/mule Anfage-£rtisiïe/cfo/g der rwtâcw) owt optimale lïïyertiïiïftsevfôiïetfvrg der fî/m?fl unter (Jnticiïerfât be/ aeq&enefi '-' ) d>/tû /&fàçf KM Wert/Mp/ew (k% -, •> fi/nM&Jr Anéye). • iïd/wfo0t (Zïïitesfoefl) ewertefl Aœptûfe M £rmw few. deren r&fa Artigen dvniï ftuf wi fô tew. JhttstftKß /n ßrßtäe/len An/tgen. • fîrmen bestimmen ArmM im ßriatö/e//en Antios/?; •»^» Â ««^* ^* *•"* / ^^^ s iMwtoreri berf/mr/Kft Ndchfäge /Wh fi/8/&/e/fa> Avfy&). • ^? (•'• fmätfr An/tyff}) M Mfykhfatt &r injfrtwjMrakn A/JMM d® ÄMws far/ &(&faw. ' fïÊ ^ E/A •' d/yßtet durch f/m&)= Macfykye tw
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Untertoosn 's/n Semimr \j FINANZMAR
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2 Finanzmarktanalyse I Hicks, J. R.
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FINANZMARKTAWU/SE L ton HANS-JÛRS
Page 7 and 8:
--2- • ôgejttâ • B/iMt/$e/> M
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-£•- • AMwew/e G^^Mgc^ fay/wk
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-7- • Un Optima [s) : HRT- WS fye
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V A4 %' v^J 1 -0- Eryebtis / Bwywy
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-//- ßyßtofr-' Jafftäfotttät M$
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Übungen'• -/?- u Awlysüe grapht
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15titon
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_/— 2. INVESTITION UNTER SICHERHE
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-3- &M$$M&fc ~tyMß •' fivfe //wi
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-_ ** 2. Ökonomischer ont ùtâfol
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-?- Tab. 2/• Eôrnirys ptrj/ûœ/
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(0 (2) &) W -tf- fM&fal M ^ er ftw&
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Pnyekt •• BER: -II- A £ C 2)
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-B- F, Vergleich Mtä-6t&Rivar&a>cr
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-XF- • fo//s AMitiinù%s-?ritâ/>
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-17- G. Zah/ungsdrvm fur ïïiyesé
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-13- Tab, 23: 2ah/üngssfa5me for I
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-2l- RCF (= Duldenden) bekommen. ti
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ûbv/igeû • -23- 2.1 Berechne de
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wmJemit. FINANZMARKTANALKEI ton HAN
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-2- • SchältiSwdew ŒKf Qeijstee
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\ i T r i l l l i r l2.345Cieg/0
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-10- ûftiMdte Idmdâuer: 6*= t.èf
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E. ßudcjdrwtrikuön •ßL- • 8&
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-14- F. Dwtö&Msrechw/y unter Dfàt
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?•• #•• /zr-- 4 ••
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Q. Z/nsstrvktor -K- Annahme • j$n
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-20- den T&mtosfä&i (terediftet au
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-22- Hupoiïese —Iw^fc— ——
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-24- FK erforekrt Etoewuy anriß (M
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,11, Übungen .• -X- 3. l Zwei i
Page 74 and 75: v. FINAN2MARKTANALKBI Kin HANS-JOt
Page 76 and 77: —9 — £. Die Hypttese des £wd/
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Page 80 and 81: -6- Axiom 6 (Pos/Wer 6/yüMtier) de
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Page 88 and 89: -14- H-POM , ex* ae u(lm}. « - «-
Page 90 and 91: -/6- 'MMtitff) 4-MX VMt (/-«)•>
Page 92 and 93: M*» i/t EDO fa (A) kankw Abb. 4.?;
Page 94 and 95: Arfaqjsiwmogen Lotterie • / N -20
Page 96 and 97: -22- 3. Risiko-Prämie im /fäurn
Page 98 and 99: -#- (46a) U (U) - K t/'Qf) *.... -
Page 100 and 101: -2B- 1. bekrieg klein vnd nevfài /
Page 102 and 103: -2t- K-^-K'WM l - £fa?J-ti - W2M-K
Page 104 and 105: -30- ______ Ewdrtv/wwert-cfes-Mxn-t
Page 106 and 107: -32- fa-Mw-£&tf $ fêrje & MiïMer
Page 108 and 109: -34- • (y et insbesondere fôr M^
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Page 120 and 121: -#à) Bu nsftosiïeter dntye» 0 *f
Page 122 and 123: (j@f)-û$t). UMä Me m Mten, am tfa
Page 126 and 127: — 9- • Vorheriges Kap/M • %gc
Page 128 and 129: -4- • tüom &n èeté/mfer Jwewt
Page 130 and 131: -6- l/œâr (Maitâg&ff) M 1 gfâi
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Page 134 and 135: Keftrmtrix: X~A ./ -10- / 0 0 0 % -
Page 136 and 137: -12- $&K Jö g/qê tit ß/e der Buy
Page 138 and 139: -H- Tab. 5.2. Atx&A/t/gen $r lue/ M
Page 140 and 141: -£- F. Mdrttcile/cfim/t • Angebe
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Page 144 and 145: -20- •• Eiïtetetfv/yefl avföw
Page 146 and 147: --22- -&ßuwy / ^ tätoM'l> eufcat
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Page 150 and 151: -Jß- _#•• TKSK târ (re/ne/ï)
Page 152 and 153: -Jf- LMûiM : ôyeben J&e/i /? (r&t
Page 154 and 155: -30- • ttw iw tehntäMtötovtöuo
Page 156 and 157: -32- Unt&ïbâre SwetötMff).' ést
Page 158 and 159: -&- gçpnéfysn 7tä£ air fâév /
Page 160 and 161: -&- £4 fayemmm tfe Mtëwfitftâ 1
Page 162 and 163: -/- 6. MITTELWERT- VARIANZ- ANAL WE
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Page 166 and 167: ->5"- Baspftj fiwrtwîterf der&fayw
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Page 170 and 171: -tftotät Wz°(l-(ti,) tfa Anfa/gwf
Page 172 and 173: *v 4- -//- E[%] = ZfOft •/ " 0.2
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-ßförpl u/er Mfaùo-&jw/tâen$&:
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(6,13) r/z .- -Ac»(^} atöjfftö)
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-ff- • û&fe n/ifolfo (-Getaut),
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-19- 5. fötlkominen torrelierte An
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-3l- 4. Me/ye der effimfen Tb/ffl/
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lagnange- ftoküto: -38- (6.3) L-rf
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4. -46- emmurai Mfritfoelto) MKufag
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l&ungsn zum Seminar FINAN2MAÜKTANA
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LÖSUNGEN -z/ 2J £>er GW hütet fo
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00 H 2' l-1 -&- = -i+2 + i+i>i+ 00
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Page 302 and 303:
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Finanzmarktanalyse I

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