Equity valuation: models from leading investment banks
Gespeichert in:
Weitere Verfasser: | , , |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Hoboken, NJ
Wiley
2008
|
Schriftenreihe: | Wiley finance series
|
Schlagworte: | |
Online-Zugang: | Publisher description Table of contents only Contributor biographical information Inhaltsverzeichnis Klappentext |
Beschreibung: | XXVII, 409 S. Ill., graph. Darst. 26 cm |
ISBN: | 9780470031490 |
Internformat
MARC
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245 | 1 | 0 | |a Equity valuation |b models from leading investment banks |c edited by Jan Viebig, Thorsten Poddig and Armin Varmaz |
264 | 1 | |a Hoboken, NJ |b Wiley |c 2008 | |
300 | |a XXVII, 409 S. |b Ill., graph. Darst. |c 26 cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a Wiley finance series | |
650 | 4 | |a Mathematisches Modell | |
650 | 4 | |a Stocks |x Mathematical models | |
650 | 4 | |a Portfolio management |x Mathematical models | |
650 | 4 | |a Valuation |x Mathematical models | |
650 | 4 | |a Investment analysis |x Mathematical models | |
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999 | |a oai:aleph.bib-bvb.de:BVB01-016033157 |
Datensatz im Suchindex
_version_ | 1804137110189375488 |
---|---|
adam_text | Contents
Foreword
xiii
Preface
xvii
Acknowledgments
xxiii
Abbreviations
xxv
Part I Discounted Cash Flow (DCF) Models
1
Jan Viebig and
Thorsten
Poddig
1
Introduction
3
2
The Fundamental Value of Stocks and Bonds
5
3
Discounted Cash Flow Models: The Main Input Factors
11
3.1
Analytical balance sheets and free cash flow discount models
11
3.2
The dividend discount model
14
3.3
The free cash flow to the firm (FCFF) model
21
3.3.1
Stirling Homex: why cash is king!
21
3.3.2
FCFF during the competitive advantage period
27
3.3.3
Weighted average cost of capital (WACC)
35
3.3.4
Terminal value calculation
45
References
49
Part II Monte Carlo Free Cash Flow to the Firm (MC-FCFF) Models
(Deutsche Bank/DWS)
53
Jan Viebig and
Thorsten
Poddig
4
Introduction
55
5
Standard FCFF Model
57
5.1
Net revenues
59
5.2
Cost structure and operating income
63
Equity Valuation
5.3
Reconciling operating income to FCFF
66
5.4
The financial value driver approach
71
5.5
Fundamental enterprise value and market value
76
5.6
Baidu s share price performance
2005-2007 79
6
Monte Carlo FCFF Models
85
6.1
Monte Carlo simulation: the idea
85
6.2
Monte Carlo simulation with ©Risk
88
6.2.1
Monte Carlo simulation with one stochastic variable
88
6.2.2
Monte Carlo simulation with several stochastic variables
98
6.3
Disclaimer
103
References
105
Part III Beyond Earnings: A User s Guide to Excess Return Models
and the HOLT CFROI® Framework
107
Tom
Lar
sen and David Holland
7
Introduction
109
8
From Accounting to Economics
-
Part I
113
9
From Economics to Valuation
-
Part I
115
10
Where Does Accounting Go Wrong?
117
11
From Accounting to Economics: CFROI
119
11.1
The basics
119
11.1.1
Return on net assets
(RONA)
or return on invested
capital (ROIC)
120
11.1.2
Return on gross investment
(ROGI)
121
11.1.3
Cash flow return on investment (CFROI)
121
11.2
CFROI adjustments using
Vodafone s
March
2005
annual report
123
11.2.1
Gross investment
123
11.2.2
Non-depreciating assets
131
11.2.3
Project life
135
11.2.4
Gross cash flow
137
11.3
CFROI calculation for
Vodafone
140
11.4
A comment on goodwill
141
12
From Accounting to Economics: Economic Profit
145
12.1
The basics
145
12.2
Caveats
147
12.3
EP adjustments using
Vodafone
March
2005
annual report
148
12.3.1
Balance Sheet
148
12.3.2
Net operating profit after tax
(NOP
AT)
153
12.3.3
Economic profit
153
12.3.4
EP or CFROI?
154
13
.1
General
rules
13
.2
Market
value added
13
.3
CFROI
13
.4
A word
on debt
13
.5
Valuation
13.5.1
CFROI valuation: general framework
13.5.2
Understanding project returns
13.5.3
The residual period
13.5.4
CFROI residual period approach
13.5.5
Economic profit valuation: general framework
13.6
Valuation of
Vodafone
13.7
EP
or CFROI?
13.
.8
A final
word
Contents
vii
13
From Economics to Valuation
-
Part II
157
157
157
157
158
159
159
159
161
164
165
167
171
173
Appendix
1: Vodafone
Financial Statements and Relevant Notes for CFROI
Calculation
175
Appendix
2:
Additional Notes from
Vodafone
Annual Report for EP
Calculation
185
References
191
Part IV Morgan Stanley Model Ware s Approach to Intrinsic
Value: Focusing on Risk-Reward Trade-offs
193
Trevor S. Harris, Juliet Estridge and Down Nissim
14
Introduction
195
15 Linking Fundamental Analysis to the Inputs of the Valuation
Model
199
16
Our Valuation Framework
203
17
Linking Business Activity to Intrinsic Value: The Model Ware
Profitability Tree
211
18
ModelWare s Intrinsic Value Approach
219
19
Treatment of Key Inputs
231
20
The Cost of Capital
233
20.1
Risk-free rate
233
20.2
Equity risk premium
234
20.3
Beta-estimation
234
21
Summary and Conclusions
237
Appendix
239
References
251
Equity Valuation
Part V UBS VCAM and EGQ Regression-based Valuation
253
David Bianco
22
Introducing EGQ
-
Where Intrinsic Methods and Empirical
Techniques Meet
255
23
A Quick Guide to DCF and Economic Profit Analysis
257
23.1
Powerful analytical frameworks, but not a complete solution
257
23.2
Dynamics of economic profit analysis
257
23.3
Unadulterated EVA
258
23.4
Value dynamic
1:
ROIC
258
23.5
Value dynamic
2:
invested capital
259
23.6
Value dynamic
3:
WACC
260
23.7
Value dynamic
4:
the value creation horizon
261
23.8
Combining all four value dynamics: EGQ
261
23.8.1
EGQ vs. PVGO
261
23.8.2
The search for the ultimate valuation methodology
262
24
Regression-based Valuation
263
25
UBS Economic Growth Quotient
265
25.1
The EGQ calculation
265
25.2
EGQ special attributes
265
25.2.1
A complete metric
265
25.2.2
Not influenced by the current capital base
265
25.2.3
Limited sensitivity to the assumed cost of capital
266
25.2.4
Comparable across companies of different size
266
25.2.5
Explains observed multiples on flows like earnings or cash flow
267
26
UBS EGQ Regression Valuation
269
26.1
Intrinsic meets relative valuation
269
26.2
EGQ regressions: relative valuation theater
270
26.3
EGQ regressions: a layered alpha framework
271
26.4
F-intercept indicates cost of capital
271
26.5
Slope vs.
У
-intercept
indicates style
271
26.6
Emergent valuation
272
26.7
Why regress EGQ vs. EV/NOPAT?
272
26.8
Think opposite when under the X-axis
273
27
Understanding Regressions
275
27.1
Key takeaways
275
27.2
The line
-
what is the relationship?
276
27.2.1
Slope (beta)
276
27.2.2
y-intercept (alpha)
277
27.3
The explanatory power or strength of the relationship
277
27.3.1
Correlation coefficient
(/?) 277
27.3.2
Coefficient of determination
(Л
-squared)
277
Contents
27.4
Reliability or confidence in the quantified relationship
278
27.4.1
Standard error (of beta)
278
27.4.2
ŕ-Statistic
278
27.5
Regression outliers
278
27.5.1
Influence outliers
278
27.5.2
Leverage outliers
278
27.6
Beware of outliers in EGQ regressions
279
28
Appendix Discussions
281
28.1
EGQ s muted sensitivity to assumed WACC
281
28.2
ЕУЯС
vs. ROIC/WACC regressions
282
28.3
PE vs. EPS growth regressions or PEG ratios
284
28.4
Return metrics: ROIC vs. CFROI
285
28.5
Accrual vs. cash flow return measures
286
28.6
ROIC vs. CFROI
286
28.7
Adjusting invested capital important, but not for EGQ
288
References
291
Part VI Leverage Buyout
(LBO)
Models
293
Jan Viebig, Daniel Stillit and
Thorsten
Poddig
29
Introduction
295
30
Leveraged Buyouts
297
31
IRRs and the Structure of
LBO
Models
301
32
Assumptions of
LBO
Models
307
33
Example: Continental
AG
317
33.1
Background
317
33.2
LBO
modeling approach
-
appropriate level of detail
318
33.3
Key
LBO
parameters
318
33.4
Step-by-step walk through the model
320
34
A Word of Caution
329
References
333
Part
VII
Valuation
101:
Approaches and Alternatives
335
Aswath Damodaran
35
Introduction
337
36
Overview of Valuation
339
37
Discounted Cash Flow Valuation
341
37.1
Essence of discounted cashflow valuation
341
Equity Valuation
37.2
Discount rate adjustment models
341
37.2.1
Equity DCF models
343
37.2.2
Firm DCF models
344
37.3
Certainty equivalent models
345
37.4
Excess return models
346
37.5
Adjusted present value models
346
37.6
Value enhancement in the DCF world
347
37.6.1
Determinants of value
347
37.6.2
Ways of increasing value
349
38
Liquidation and Accounting Valuation
355
38.1
Book value-based valuation
355
38.1.1
Book value
356
38.1.2
Book value plus earnings
356
38.1.3
Fair value accounting
357
38.2
Liquidation valuation
358
38.3
Value enhancement in the accounting world
358
39
Relative Valuation
361
39.1
Steps in relative valuation
361
39.2
Basis for approach
361
39.3
Standardized values and multiples
362
39.4
Determinants of multiples
363
39.5
Comparable firms
365
39.6
Controlling for differences across firms
365
39.7
Value enhancement in the relative valuation world
366
40
Real Option Valuation
369
40.1
Basis for approach
369
40.2
The essence of real options
370
40.3
Examples of real options
371
40.4
Value enhancement in the real options world
372
41
Closing Thoughts on Value Enhancement
375
References
377
Part
VIII
Final Thoughts on Valuation
379
Armin Varmaz, Thorsten
Pocidig
and Jan Viebig
42
Introduction
381
43
Valuation in Theory: The Valuation of a Single Asset
383
43.1
Certain cash flows
383
43.2
Uncertain cash flows
384
43.3
Risk
premia
386
Contents
43.4
Certainty equivalents and utility-based valuation
388
43.5
Risk neutral probabilities
391
44
Outlook: The Multi-asset Valuation and Allocation Case
395
45
Summary
399
References
401
Index
403
3,
CFA,
is a Managing
Director at DWS Investment
GmbH in Frankfurt, Germany,
where he manages two long
/
short
equity hedge funds. With EUR
142
billion under management, DWS is
the largest asset manager in
Germany. DWS is part of Deutsche
Asset Management (DeAM). Jan holds a Diploma and a
PhD degree in Business Administration from the
University of the Armed Forces in Munich and a Master
of International Management (Post-MBA) degree from
Thunderbird, School of Global Management. He is a
lecturer at the University of Bremen. His research
interests are in the field of hedge funds and equity
valuation.
łSTEN PODDIG
has
studied business administration,
economics, and computer sciences.
He received his PhD degree at the
University of
Bamberg.
His work on
concepts in Artificial Intelligence
and its application to decision
theory and decision making in
business administration was followed by analyzing,
modeling and forecasting financial markets with neural
networks at the University of Freiburg. Since
1996,
he
has been Professor of Business Administration and
Finance at the University of Bremen. His research
interests cover all aspects of asset management
including financial market modeling and forecasting,
portfolio optimization and asset allocation, equity
valuation, capital market theory and empirical finance.
АЖМЇМ
¥AlMåZ
studied business
administration and economics,
bi
his PhD thesis he analyzed the
profitability, the competition and
the efficiency in the German
banking sector, using panel data
approaches and date envelopment
analysis. Since
2006
he has been a
postdoctoral research felow at the University of
Bremen, His main
intereste
and research experience
indade
fahjatíon
theory
,
optimization in economics
aad empirical finance. He is
caaxaůy
working on
acfeanteå
quantitative methods
för
analyzing,
medeiüg
and
sìmuìatìng
loag-taaa
áereíopinests
и*
laaadał
marbete.
|
adam_txt |
Contents
Foreword
xiii
Preface
xvii
Acknowledgments
xxiii
Abbreviations
xxv
Part I Discounted Cash Flow (DCF) Models
1
Jan Viebig and
Thorsten
Poddig
1
Introduction
3
2
The Fundamental Value of Stocks and Bonds
5
3
Discounted Cash Flow Models: The Main Input Factors
11
3.1
Analytical balance sheets and free cash flow discount models
11
3.2
The dividend discount model
14
3.3
The free cash flow to the firm (FCFF) model
21
3.3.1
Stirling Homex: why cash is king!
21
3.3.2
FCFF during the competitive advantage period
27
3.3.3
Weighted average cost of capital (WACC)
35
3.3.4
Terminal value calculation
45
References
49
Part II Monte Carlo Free Cash Flow to the Firm (MC-FCFF) Models
(Deutsche Bank/DWS)
53
Jan Viebig and
Thorsten
Poddig
4
Introduction
55
5
Standard FCFF Model
57
5.1
Net revenues
59
5.2
Cost structure and operating income
63
Equity Valuation
5.3
Reconciling operating income to FCFF
66
5.4
The financial value driver approach
71
5.5
Fundamental enterprise value and market value
76
5.6
Baidu's share price performance
2005-2007 79
6
Monte Carlo FCFF Models
85
6.1
Monte Carlo simulation: the idea
85
6.2
Monte Carlo simulation with ©Risk
88
6.2.1
Monte Carlo simulation with one stochastic variable
88
6.2.2
Monte Carlo simulation with several stochastic variables
98
6.3
Disclaimer
103
References
105
Part III Beyond Earnings: A User's Guide to Excess Return Models
and the HOLT CFROI® Framework
107
Tom
Lar
sen and David Holland
7
Introduction
109
8
From Accounting to Economics
-
Part I
113
9
From Economics to Valuation
-
Part I
115
10
Where Does Accounting Go Wrong?
117
11
From Accounting to Economics: CFROI
119
11.1
The basics
119
11.1.1
Return on net assets
(RONA)
or return on invested
capital (ROIC)
120
11.1.2
Return on gross investment
(ROGI)
121
11.1.3
Cash flow return on investment (CFROI)
121
11.2
CFROI adjustments using
Vodafone's
March
2005
annual report
123
11.2.1
Gross investment
123
11.2.2
Non-depreciating assets
131
11.2.3
Project life
135
11.2.4
Gross cash flow
137
11.3
CFROI calculation for
Vodafone
140
11.4
A comment on goodwill
141
12
From Accounting to Economics: Economic Profit
145
12.1
The basics
145
12.2
Caveats
147
12.3
EP adjustments using
Vodafone
March
2005
annual report
148
12.3.1
Balance Sheet
148
12.3.2
Net operating profit after tax
(NOP
AT)
153
12.3.3
Economic profit
153
12.3.4
EP or CFROI?
154
13
.1
General
rules
13
.2
Market
value added
13
.3
CFROI
13
.4
A word
on debt
13
.5
Valuation
13.5.1
CFROI valuation: general framework
13.5.2
Understanding project returns
13.5.3
The residual period
13.5.4
CFROI residual period approach
13.5.5
Economic profit valuation: general framework
13.6
Valuation of
Vodafone
13.7
EP
or CFROI?
13.
.8
A final
word
Contents
vii
13
From Economics to Valuation
-
Part II
157
157
157
157
158
159
159
159
161
164
165
167
171
173
Appendix
1: Vodafone
Financial Statements and Relevant Notes for CFROI
Calculation
175
Appendix
2:
Additional Notes from
Vodafone
Annual Report for EP
Calculation
185
References
191
Part IV Morgan Stanley Model Ware's Approach to Intrinsic
Value: Focusing on Risk-Reward Trade-offs
193
Trevor S. Harris, Juliet Estridge and Down Nissim
14
Introduction
195
15 Linking Fundamental Analysis to the Inputs of the Valuation
Model
199
16
Our Valuation Framework
203
17
Linking Business Activity to Intrinsic Value: The Model Ware
Profitability Tree
211
18
ModelWare's Intrinsic Value Approach
219
19
Treatment of Key Inputs
231
20
The Cost of Capital
233
20.1
Risk-free rate
233
20.2
Equity risk premium
234
20.3
Beta-estimation
234
21
Summary and Conclusions
237
Appendix
239
References
251
Equity Valuation
Part V UBS VCAM and EGQ Regression-based Valuation
253
David Bianco
22
Introducing "EGQ"
-
Where Intrinsic Methods and Empirical
Techniques Meet
255
23
A Quick Guide to DCF and Economic Profit Analysis
257
23.1
Powerful analytical frameworks, but not a complete solution
257
23.2
Dynamics of economic profit analysis
257
23.3
"Unadulterated EVA"
258
23.4
Value dynamic
1:
ROIC
258
23.5
Value dynamic
2:
invested capital
259
23.6
Value dynamic
3:
WACC
260
23.7
Value dynamic
4:
the value creation horizon
261
23.8
Combining all four value dynamics: EGQ
261
23.8.1
EGQ vs. PVGO
261
23.8.2
The search for the ultimate valuation methodology
262
24
Regression-based Valuation
263
25
UBS Economic Growth Quotient
265
25.1
The EGQ calculation
265
25.2
EGQ special attributes
265
25.2.1
A complete metric
265
25.2.2
Not influenced by the current capital base
265
25.2.3
Limited sensitivity to the assumed cost of capital
266
25.2.4
Comparable across companies of different size
266
25.2.5
Explains observed multiples on flows like earnings or cash flow
267
26
UBS EGQ Regression Valuation
269
26.1
Intrinsic meets relative valuation
269
26.2
EGQ regressions: relative valuation theater
270
26.3
EGQ regressions: a layered alpha framework
271
26.4
F-intercept indicates cost of capital
271
26.5
Slope vs.
У
-intercept
indicates style
271
26.6
Emergent valuation
272
26.7
Why regress EGQ vs. EV/NOPAT?
272
26.8
Think opposite when under the X-axis
273
27
Understanding Regressions
275
27.1
Key takeaways
275
27.2
The line
-
what is the relationship?
276
27.2.1
Slope (beta)
276
27.2.2
y-intercept (alpha)
277
27.3
The explanatory power or strength of the relationship
277
27.3.1
Correlation coefficient
(/?) 277
27.3.2
Coefficient of determination
(Л
-squared)
277
Contents
27.4
Reliability or confidence in the quantified relationship
278
27.4.1
Standard error (of beta)
278
27.4.2
ŕ-Statistic
278
27.5
Regression outliers
278
27.5.1
Influence outliers
278
27.5.2
Leverage outliers
278
27.6
Beware of outliers in EGQ regressions
279
28
Appendix Discussions
281
28.1
EGQ's muted sensitivity to assumed WACC
281
28.2
ЕУЯС
vs. ROIC/WACC regressions
282
28.3
PE vs. EPS growth regressions or PEG ratios
284
28.4
Return metrics: ROIC vs. CFROI
285
28.5
Accrual vs. cash flow return measures
286
28.6
ROIC vs. CFROI
286
28.7
Adjusting invested capital important, but not for EGQ
288
References
291
Part VI Leverage Buyout
(LBO)
Models
293
Jan Viebig, Daniel Stillit and
Thorsten
Poddig
29
Introduction
295
30
Leveraged Buyouts
297
31
IRRs and the Structure of
LBO
Models
301
32
Assumptions of
LBO
Models
307
33
Example: Continental
AG
317
33.1
Background
317
33.2
LBO
modeling approach
-
appropriate level of detail
318
33.3
Key
LBO
parameters
318
33.4
Step-by-step walk through the model
320
34
A Word of Caution
329
References
333
Part
VII
Valuation
101:
Approaches and Alternatives
335
Aswath Damodaran
35
Introduction
337
36
Overview of Valuation
339
37
Discounted Cash Flow Valuation
341
37.1
Essence of discounted cashflow valuation
341
Equity Valuation
37.2
Discount rate adjustment models
341
37.2.1
Equity DCF models
343
37.2.2
Firm DCF models
344
37.3
Certainty equivalent models
345
37.4
Excess return models
346
37.5
Adjusted present value models
346
37.6
Value enhancement in the DCF world
347
37.6.1
Determinants of value
347
37.6.2
Ways of increasing value
349
38
Liquidation and Accounting Valuation
355
38.1
Book value-based valuation
355
38.1.1
Book value
356
38.1.2
Book value plus earnings
356
38.1.3
Fair value accounting
357
38.2
Liquidation valuation
358
38.3
Value enhancement in the accounting world
358
39
Relative Valuation
361
39.1
Steps in relative valuation
361
39.2
Basis for approach
361
39.3
Standardized values and multiples
362
39.4
Determinants of multiples
363
39.5
Comparable firms
365
39.6
Controlling for differences across firms
365
39.7
Value enhancement in the relative valuation world
366
40
Real Option Valuation
369
40.1
Basis for approach
369
40.2
The essence of real options
370
40.3
Examples of real options
371
40.4
Value enhancement in the real options world
372
41
Closing Thoughts on Value Enhancement
375
References
377
Part
VIII
Final Thoughts on Valuation
379
Armin Varmaz, Thorsten
Pocidig
and Jan Viebig
42
Introduction
381
43
Valuation in Theory: The Valuation of a Single Asset
383
43.1
Certain cash flows
383
43.2
Uncertain cash flows
384
43.3
Risk
premia
386
Contents
43.4
Certainty equivalents and utility-based valuation
388
43.5
Risk neutral probabilities
391
44
Outlook: The Multi-asset Valuation and Allocation Case
395
45
Summary
399
References
401
Index
403
3,
CFA,
is a Managing
Director at DWS Investment
GmbH in Frankfurt, Germany,
where he manages two long
/
short
equity hedge funds. With EUR
142
billion under management, DWS is
the largest asset manager in
Germany. DWS is part of Deutsche
Asset Management (DeAM). Jan holds a Diploma and a
PhD degree in Business Administration from the
University of the Armed Forces in Munich and a Master
of International Management (Post-MBA) degree from
Thunderbird, School of Global Management. He is a
lecturer at the University of Bremen. His research
interests are in the field of hedge funds and equity
valuation.
łSTEN PODDIG
has
studied business administration,
economics, and computer sciences.
He received his PhD degree at the
University of
Bamberg.
His work on
concepts in Artificial Intelligence
and its application to decision
theory and decision making in
business administration was followed by analyzing,
modeling and forecasting financial markets with neural
networks at the University of Freiburg. Since
1996,
he
has been Professor of Business Administration and
Finance at the University of Bremen. His research
interests cover all aspects of asset management
including financial market modeling and forecasting,
portfolio optimization and asset allocation, equity
valuation, capital market theory and empirical finance.
АЖМЇМ
¥AlMåZ
studied business
administration and economics,
bi
his PhD thesis he analyzed the
profitability, the competition and
the efficiency in the German
banking sector, using panel data
approaches and date envelopment
analysis. Since
2006
he has been a
postdoctoral research felow at the University of
Bremen, His main
intereste
and research experience
indade
fahjatíon
theory
,
optimization in economics
aad empirical finance. He is
caaxaůy
working on
acfeanteå
quantitative methods
för
analyzing,
medeiüg
and
sìmuìatìng
loag-taaa
áereíopinests
и*
laaadał
marbete. |
any_adam_object | 1 |
any_adam_object_boolean | 1 |
author2 | Viebig, Jan 1969- Poddig, Thorsten 1961- Varmaz, Armin 1977- |
author2_role | edt edt edt |
author2_variant | j v jv t p tp a v av |
author_GND | (DE-588)120721198 (DE-588)124888224 (DE-588)132311739 |
author_facet | Viebig, Jan 1969- Poddig, Thorsten 1961- Varmaz, Armin 1977- |
building | Verbundindex |
bvnumber | BV022827892 |
callnumber-first | H - Social Science |
callnumber-label | HG4661 |
callnumber-raw | HG4661 .E674 |
callnumber-search | HG4661 .E674 |
callnumber-sort | HG 44661 E674 |
callnumber-subject | HG - Finance |
classification_rvk | QH 239 QP 770 |
classification_tum | WIR 680f |
ctrlnum | (OCoLC)191318031 (DE-599)BVBBV022827892 |
dewey-full | 332.63/221 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 332 - Financial economics |
dewey-raw | 332.63/221 |
dewey-search | 332.63/221 |
dewey-sort | 3332.63 3221 |
dewey-tens | 330 - Economics |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
format | Book |
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genre_facet | Aufsatzsammlung |
id | DE-604.BV022827892 |
illustrated | Illustrated |
index_date | 2024-07-02T18:42:30Z |
indexdate | 2024-07-09T21:07:05Z |
institution | BVB |
isbn | 9780470031490 |
language | English |
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physical | XXVII, 409 S. Ill., graph. Darst. 26 cm |
publishDate | 2008 |
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publisher | Wiley |
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spelling | Equity valuation models from leading investment banks edited by Jan Viebig, Thorsten Poddig and Armin Varmaz Hoboken, NJ Wiley 2008 XXVII, 409 S. Ill., graph. Darst. 26 cm txt rdacontent n rdamedia nc rdacarrier Wiley finance series Mathematisches Modell Stocks Mathematical models Portfolio management Mathematical models Valuation Mathematical models Investment analysis Mathematical models Eigenkapital (DE-588)4013776-4 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Unternehmensbewertung (DE-588)4078594-4 gnd rswk-swf Investmentbank (DE-588)4498161-2 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Unternehmensbewertung (DE-588)4078594-4 s Eigenkapital (DE-588)4013776-4 s Mathematisches Modell (DE-588)4114528-8 s Investmentbank (DE-588)4498161-2 s DE-604 Viebig, Jan 1969- (DE-588)120721198 edt Poddig, Thorsten 1961- (DE-588)124888224 edt Varmaz, Armin 1977- (DE-588)132311739 edt http://www.loc.gov/catdir/enhancements/fy0810/2008002738-d.html Publisher description http://www.loc.gov/catdir/enhancements/fy0810/2008002738-t.html Table of contents only http://www.loc.gov/catdir/enhancements/fy0828/2008002738-b.html Contributor biographical information Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016033157&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016033157&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
spellingShingle | Equity valuation models from leading investment banks Mathematisches Modell Stocks Mathematical models Portfolio management Mathematical models Valuation Mathematical models Investment analysis Mathematical models Eigenkapital (DE-588)4013776-4 gnd Mathematisches Modell (DE-588)4114528-8 gnd Unternehmensbewertung (DE-588)4078594-4 gnd Investmentbank (DE-588)4498161-2 gnd |
subject_GND | (DE-588)4013776-4 (DE-588)4114528-8 (DE-588)4078594-4 (DE-588)4498161-2 (DE-588)4143413-4 |
title | Equity valuation models from leading investment banks |
title_auth | Equity valuation models from leading investment banks |
title_exact_search | Equity valuation models from leading investment banks |
title_exact_search_txtP | Equity valuation models from leading investment banks |
title_full | Equity valuation models from leading investment banks edited by Jan Viebig, Thorsten Poddig and Armin Varmaz |
title_fullStr | Equity valuation models from leading investment banks edited by Jan Viebig, Thorsten Poddig and Armin Varmaz |
title_full_unstemmed | Equity valuation models from leading investment banks edited by Jan Viebig, Thorsten Poddig and Armin Varmaz |
title_short | Equity valuation |
title_sort | equity valuation models from leading investment banks |
title_sub | models from leading investment banks |
topic | Mathematisches Modell Stocks Mathematical models Portfolio management Mathematical models Valuation Mathematical models Investment analysis Mathematical models Eigenkapital (DE-588)4013776-4 gnd Mathematisches Modell (DE-588)4114528-8 gnd Unternehmensbewertung (DE-588)4078594-4 gnd Investmentbank (DE-588)4498161-2 gnd |
topic_facet | Mathematisches Modell Stocks Mathematical models Portfolio management Mathematical models Valuation Mathematical models Investment analysis Mathematical models Eigenkapital Unternehmensbewertung Investmentbank Aufsatzsammlung |
url | http://www.loc.gov/catdir/enhancements/fy0810/2008002738-d.html http://www.loc.gov/catdir/enhancements/fy0810/2008002738-t.html http://www.loc.gov/catdir/enhancements/fy0828/2008002738-b.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016033157&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016033157&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT viebigjan equityvaluationmodelsfromleadinginvestmentbanks AT poddigthorsten equityvaluationmodelsfromleadinginvestmentbanks AT varmazarmin equityvaluationmodelsfromleadinginvestmentbanks |