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Analysis of financial data / Gary Koop
| Analysis of financial data / Gary Koop |
| Autore | Koop, Gary |
| Pubbl/distr/stampa | Chichester, : Wiley & Sons, c2006 |
| Descrizione fisica | VII, 240 p. ; 25 cm. |
| Disciplina | 332 |
| Soggetto topico |
Finanza - Modelli matematici
Econometria |
| ISBN | 0470013214 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISANNIO-UBO2886937 |
Koop, Gary
|
||
| Chichester, : Wiley & Sons, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Sannio | ||
| ||
Analyzing financial data and implementing financial models using R / / Clifford S. Ang
| Analyzing financial data and implementing financial models using R / / Clifford S. Ang |
| Autore | Ang Clifford S. |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (476 pages) |
| Disciplina | 332 |
| Collana | Springer Texts in Business and Economics |
| Soggetto topico |
Risk management
Economics, Mathematical Statistics R (Computer program language) |
| ISBN | 3-030-64155-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- 1 Prices -- 1.1 Price Versus Value -- 1.2 Importing Price Data from Yahoo Finance -- 1.3 Checking the Data -- 1.3.1 Check the Start and End Data -- 1.3.2 Plotting the Data -- 1.3.3 Checking the Dimension -- 1.3.4 Outputting Summary Statistics -- 1.3.5 Checking the Ticker Symbol -- 1.4 Basic Data Manipulation Techniques -- 1.4.1 Keeping and Deleting One Row -- 1.4.2 Keeping First and Last Rows -- 1.4.3 Keeping Contiguous Rows -- 1.4.4 Keeping One Column -- 1.4.5 Deleting One Column -- 1.4.6 Keeping Non-Contiguous Columns -- 1.4.7 Keeping Contiguous Columns -- 1.4.8 Keeping Contiguous and Non-Contiguous Columns -- 1.4.9 Keeping Rows and Columns -- 1.4.10 Subsetting Time Series Data Using Dates -- 1.4.11 Converting to Weekly Prices -- 1.4.12 Converting to Monthly Prices -- 1.5 Comparing Capital Gains Between Securities -- 1.5.1 Alternative 1-Using xts-Style Chart -- 1.5.2 Alternative 2-Plotting Four Mini-Charts -- 1.5.3 Alternative 3-Using ggplot to Plot FourMini-Charts -- 1.6 Simple and Exponential Moving Averages -- 1.7 Volume-Weighted Average Price -- 1.8 Plotting a Candlestick Chart -- 1.9 2-Axis Price and Volume Chart -- 1.10 Further Reading -- References -- 2 Individual Security Returns -- 2.1 Price Returns -- 2.2 Total Returns -- 2.3 Logarithmic Total Returns -- 2.4 Winsorization and Truncation -- 2.5 Cumulating Multi-Day Returns -- 2.5.1 Cumulating Arithmetic Returns -- 2.5.2 Cumulating Logarithmic Returns -- 2.5.3 Comparing Price Return and Total Return -- 2.6 Weekly Returns -- 2.7 Monthly Returns -- 2.8 Comparing Performance of Multiple Securities -- 2.8.1 Using Normalized Prices -- 2.8.2 Using Cumulative Returns -- 3 Portfolio Returns -- 3.1 Portfolio Returns the Long Way -- 3.2 Portfolio Returns Using Matrix Algebra -- 3.3 Constructing Benchmark Portfolio Returns.
3.3.1 Quarterly Returns the Long Way -- 3.3.2 Quarterly Returns the Shorter Way -- 3.3.3 Equal-Weighted Portfolio -- 3.3.4 Value-Weighted Portfolio -- 3.3.5 Daily Portfolio Returns -- 3.4 Time-Weighted Rate of Return -- 3.5 Money-Weighted Rate of Return -- 3.6 Further Reading -- Reference -- 4 Risk -- 4.1 Risk-Return Trade-Off -- 4.2 Individual Security Risk -- 4.2.1 Standard Deviation and Variance -- 4.3 Portfolio Risk -- 4.3.1 Two Assets Using Manual Approach -- 4.3.2 Two Assets Using Matrix Algebra -- 4.3.3 Multiple Assets -- 4.4 Value-at-Risk -- 4.4.1 Gaussian VaR -- 4.4.2 Historical VaR -- 4.5 Expected Shortfall -- 4.5.1 Gaussian ES -- 4.5.2 Historical ES -- 4.5.3 Comparing VaR and ES -- 4.6 Alternative Risk Measures -- 4.6.1 Parkinson -- 4.6.2 Garman-Klass -- 4.6.3 Rogers, Satchell, and Yoon -- 4.6.4 Yang and Zhang -- 4.6.5 Comparing the Risk Measures -- 4.7 Further Reading -- References -- 5 Factor Models -- 5.1 CAPM -- 5.2 Market Model -- 5.3 Rolling Window Regressions -- 5.4 Betas on Different Reference Days -- 5.5 Fama-French Three Factor Model -- 5.6 Testing for Heteroskedasticity -- 5.7 Testing for Non-Normality -- 5.8 Testing for Autocorrelation -- 5.9 Event Studies -- 5.9.1 Example: Drop in Tesla Stock After 1Q 2019 Earnings Release on April 24, 2019 -- 5.9.2 Single Step Event Study -- 5.9.3 Two Stage Event Study -- 5.9.4 Sample Quantiles/Non-Parametric -- 5.10 Selecting Best Regression Variables -- 5.10.1 Create Dataset of Returns -- 5.10.2 Forward Step Approach -- 5.10.3 Backward Step Approach -- 5.10.4 Suppressing Steps in Output -- 5.11 Further Reading -- References -- 6 Risk-Adjusted Portfolio Performance Measures -- 6.1 Portfolio and Benchmark Data -- 6.2 Sharpe Ratio -- 6.3 Roy's Safety First Ratio -- 6.4 Treynor Ratio -- 6.5 Sortino Ratio -- 6.6 Information Ratio -- 6.7 Combining Results -- 6.8 Further Reading -- References. 7 Markowitz Mean-Variance Optimization -- 7.1 Two Assets the Long Way -- 7.2 Two Assets Using Quadratic Programming -- 7.3 Multiple Assets Using Quadratic Programming -- 7.4 Effect of Allowing Short Selling -- 7.5 Further Reading -- References -- 8 Equities -- 8.1 Company Financials -- 8.2 Projections -- 8.2.1 Projecting Based on Historical Trends -- 8.2.2 Analyzing Projections Prepared by Third Parties -- 8.2.3 Analyzing Growth Rates Embedded in Projections -- 8.2.4 Analyzing Projections Using Regression Analysis -- 8.3 Equity Risk Premium -- 8.4 Unlevering Betas -- 8.5 Sensitivity Analysis -- 8.6 Relative Valuation Using Regression Analysis -- 8.7 Identifying Significant Shifts in Stock Returns -- 8.7.1 t-Test: Testing Difference in Average Returns -- 8.7.2 Identifying Breakpoints -- 8.7.3 Chow Test -- 8.7.4 Test Equality of Two Betas -- 8.8 Further Reading -- References -- 9 Fixed Income -- 9.1 Economic Analysis -- 9.1.1 Real GDP -- 9.1.2 Unemployment Rate -- 9.1.3 Inflation Rate -- 9.2 US Treasuries -- 9.2.1 Shape of the US Treasury Yield Curve -- 9.2.2 Slope of the US Treasury Yield Curve -- 9.2.3 Real Yields on US Treasuries -- 9.2.4 Expected Inflation Rates -- 9.2.5 Mean Reversion -- 9.3 Principal Components Analysis -- 9.4 Investment Grade Bond Spreads -- 9.4.1 Time Series of Spreads -- 9.4.2 Spreads and Real GDP Growth -- 9.5 Bond Valuation -- 9.5.1 Valuing Bonds with Known Yield to Maturity -- 9.5.2 Bond Valuation Function -- 9.5.3 Finding the Yield to Maturity -- 9.6 Duration and Convexity -- 9.6.1 Calculating Duration and Convexity -- 9.6.2 Duration and Convexity Functions -- 9.6.3 Comparing Estimates of Value to Full Valuation -- 9.7 Short Rate Models -- 9.7.1 Vasicek -- 9.7.2 Cox, Ingersoll, and Ross -- 9.8 Further Reading -- References -- 10 Options -- 10.1 Obtaining Options Chain Data -- 10.2 Black-Scholes-Merton Options Pricing Model. 10.2.1 BSM Function -- 10.2.2 Put-Call Parity -- 10.2.3 The Greeks -- 10.3 Implied Volatility -- 10.3.1 Implied Volatility Function -- 10.3.2 Volatility Smile -- 10.3.3 Gauging Market Risk -- 10.4 The Cox, Ross, and Rubinstein Binomial OPM -- 10.4.1 CRR: The Long Way -- 10.4.2 CRR Function -- 10.5 American Option Pricing -- 10.5.1 CRR Binomial Tree -- 10.5.2 Bjerksund-Stensland Approximation -- 10.6 Further Reading -- References -- 11 Simulation -- 11.1 Simulating Stock Prices Using Geometric Brownian Motion -- 11.1.1 Simulating Multiple Ending Stock Price Paths -- 11.1.2 Comparing Theoretical to Empirical Distributions -- 11.2 Simulating Stock Prices with and Without Dividends -- 11.3 Simulating Stocks with Correlated Prices -- 11.4 Value-at-Risk Using Simulation -- 11.5 Monte Carlo Pricing of European Options -- 11.6 Monte Carlo Option Pricing Using Antithetic Variables -- 11.7 Exotic Option Valuation -- 11.7.1 Asian Options -- 11.7.2 Lookback Options -- 11.7.3 Barrier Options -- 11.8 Further Reading -- References -- 12 Trading Strategies -- 12.1 Efficient Markets Hypothesis -- 12.1.1 Autocorrelation Test -- 12.1.2 Variance Ratio Test -- 12.1.3 Runs Test -- 12.2 Technical Analysis -- 12.2.1 Trend: Simple Moving Average Crossover -- 12.2.2 Volatility: Bollinger Bands -- 12.2.3 Momentum: Relative Strength Index -- 12.3 Building a Simple Trading Strategy -- 12.4 Machine Learning Techniques -- 12.4.1 General Steps to Apply ML -- 12.4.2 k-Nearest Neighbor Algorithm -- 12.4.3 Regression and k-Fold Cross Validation -- 12.4.4 Artificial Neural Networks -- 12.5 Further Reading -- References -- A Getting Started with R -- A.1 Installing R -- A.2 The R Working Directory -- A.3 R Console Output -- A.4 R Editor -- A.5 Packages -- A.6 Basic Commands -- A.7 The R Workspace -- A.8 Vectors -- A.9 Combining Vectors -- A.10 Matrices -- A.11 data.frame. A.12 Date Formats -- B Pre-Loaded Code -- C Constructing a Hypothetical Portfolio (Monthly Returns) -- D Constructing a Hypothetical Portfolio (Daily Returns) -- Index. |
| Record Nr. | UNISA-996464519103316 |
|
Ang Clifford S.
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Analyzing financial data and implementing financial models using R / / Clifford S. Ang
| Analyzing financial data and implementing financial models using R / / Clifford S. Ang |
| Autore | Ang Clifford S. |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (476 pages) |
| Disciplina | 332 |
| Collana | Springer Texts in Business and Economics |
| Soggetto topico |
Risk management
Economics, Mathematical Statistics R (Computer program language) |
| ISBN | 3-030-64155-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- 1 Prices -- 1.1 Price Versus Value -- 1.2 Importing Price Data from Yahoo Finance -- 1.3 Checking the Data -- 1.3.1 Check the Start and End Data -- 1.3.2 Plotting the Data -- 1.3.3 Checking the Dimension -- 1.3.4 Outputting Summary Statistics -- 1.3.5 Checking the Ticker Symbol -- 1.4 Basic Data Manipulation Techniques -- 1.4.1 Keeping and Deleting One Row -- 1.4.2 Keeping First and Last Rows -- 1.4.3 Keeping Contiguous Rows -- 1.4.4 Keeping One Column -- 1.4.5 Deleting One Column -- 1.4.6 Keeping Non-Contiguous Columns -- 1.4.7 Keeping Contiguous Columns -- 1.4.8 Keeping Contiguous and Non-Contiguous Columns -- 1.4.9 Keeping Rows and Columns -- 1.4.10 Subsetting Time Series Data Using Dates -- 1.4.11 Converting to Weekly Prices -- 1.4.12 Converting to Monthly Prices -- 1.5 Comparing Capital Gains Between Securities -- 1.5.1 Alternative 1-Using xts-Style Chart -- 1.5.2 Alternative 2-Plotting Four Mini-Charts -- 1.5.3 Alternative 3-Using ggplot to Plot FourMini-Charts -- 1.6 Simple and Exponential Moving Averages -- 1.7 Volume-Weighted Average Price -- 1.8 Plotting a Candlestick Chart -- 1.9 2-Axis Price and Volume Chart -- 1.10 Further Reading -- References -- 2 Individual Security Returns -- 2.1 Price Returns -- 2.2 Total Returns -- 2.3 Logarithmic Total Returns -- 2.4 Winsorization and Truncation -- 2.5 Cumulating Multi-Day Returns -- 2.5.1 Cumulating Arithmetic Returns -- 2.5.2 Cumulating Logarithmic Returns -- 2.5.3 Comparing Price Return and Total Return -- 2.6 Weekly Returns -- 2.7 Monthly Returns -- 2.8 Comparing Performance of Multiple Securities -- 2.8.1 Using Normalized Prices -- 2.8.2 Using Cumulative Returns -- 3 Portfolio Returns -- 3.1 Portfolio Returns the Long Way -- 3.2 Portfolio Returns Using Matrix Algebra -- 3.3 Constructing Benchmark Portfolio Returns.
3.3.1 Quarterly Returns the Long Way -- 3.3.2 Quarterly Returns the Shorter Way -- 3.3.3 Equal-Weighted Portfolio -- 3.3.4 Value-Weighted Portfolio -- 3.3.5 Daily Portfolio Returns -- 3.4 Time-Weighted Rate of Return -- 3.5 Money-Weighted Rate of Return -- 3.6 Further Reading -- Reference -- 4 Risk -- 4.1 Risk-Return Trade-Off -- 4.2 Individual Security Risk -- 4.2.1 Standard Deviation and Variance -- 4.3 Portfolio Risk -- 4.3.1 Two Assets Using Manual Approach -- 4.3.2 Two Assets Using Matrix Algebra -- 4.3.3 Multiple Assets -- 4.4 Value-at-Risk -- 4.4.1 Gaussian VaR -- 4.4.2 Historical VaR -- 4.5 Expected Shortfall -- 4.5.1 Gaussian ES -- 4.5.2 Historical ES -- 4.5.3 Comparing VaR and ES -- 4.6 Alternative Risk Measures -- 4.6.1 Parkinson -- 4.6.2 Garman-Klass -- 4.6.3 Rogers, Satchell, and Yoon -- 4.6.4 Yang and Zhang -- 4.6.5 Comparing the Risk Measures -- 4.7 Further Reading -- References -- 5 Factor Models -- 5.1 CAPM -- 5.2 Market Model -- 5.3 Rolling Window Regressions -- 5.4 Betas on Different Reference Days -- 5.5 Fama-French Three Factor Model -- 5.6 Testing for Heteroskedasticity -- 5.7 Testing for Non-Normality -- 5.8 Testing for Autocorrelation -- 5.9 Event Studies -- 5.9.1 Example: Drop in Tesla Stock After 1Q 2019 Earnings Release on April 24, 2019 -- 5.9.2 Single Step Event Study -- 5.9.3 Two Stage Event Study -- 5.9.4 Sample Quantiles/Non-Parametric -- 5.10 Selecting Best Regression Variables -- 5.10.1 Create Dataset of Returns -- 5.10.2 Forward Step Approach -- 5.10.3 Backward Step Approach -- 5.10.4 Suppressing Steps in Output -- 5.11 Further Reading -- References -- 6 Risk-Adjusted Portfolio Performance Measures -- 6.1 Portfolio and Benchmark Data -- 6.2 Sharpe Ratio -- 6.3 Roy's Safety First Ratio -- 6.4 Treynor Ratio -- 6.5 Sortino Ratio -- 6.6 Information Ratio -- 6.7 Combining Results -- 6.8 Further Reading -- References. 7 Markowitz Mean-Variance Optimization -- 7.1 Two Assets the Long Way -- 7.2 Two Assets Using Quadratic Programming -- 7.3 Multiple Assets Using Quadratic Programming -- 7.4 Effect of Allowing Short Selling -- 7.5 Further Reading -- References -- 8 Equities -- 8.1 Company Financials -- 8.2 Projections -- 8.2.1 Projecting Based on Historical Trends -- 8.2.2 Analyzing Projections Prepared by Third Parties -- 8.2.3 Analyzing Growth Rates Embedded in Projections -- 8.2.4 Analyzing Projections Using Regression Analysis -- 8.3 Equity Risk Premium -- 8.4 Unlevering Betas -- 8.5 Sensitivity Analysis -- 8.6 Relative Valuation Using Regression Analysis -- 8.7 Identifying Significant Shifts in Stock Returns -- 8.7.1 t-Test: Testing Difference in Average Returns -- 8.7.2 Identifying Breakpoints -- 8.7.3 Chow Test -- 8.7.4 Test Equality of Two Betas -- 8.8 Further Reading -- References -- 9 Fixed Income -- 9.1 Economic Analysis -- 9.1.1 Real GDP -- 9.1.2 Unemployment Rate -- 9.1.3 Inflation Rate -- 9.2 US Treasuries -- 9.2.1 Shape of the US Treasury Yield Curve -- 9.2.2 Slope of the US Treasury Yield Curve -- 9.2.3 Real Yields on US Treasuries -- 9.2.4 Expected Inflation Rates -- 9.2.5 Mean Reversion -- 9.3 Principal Components Analysis -- 9.4 Investment Grade Bond Spreads -- 9.4.1 Time Series of Spreads -- 9.4.2 Spreads and Real GDP Growth -- 9.5 Bond Valuation -- 9.5.1 Valuing Bonds with Known Yield to Maturity -- 9.5.2 Bond Valuation Function -- 9.5.3 Finding the Yield to Maturity -- 9.6 Duration and Convexity -- 9.6.1 Calculating Duration and Convexity -- 9.6.2 Duration and Convexity Functions -- 9.6.3 Comparing Estimates of Value to Full Valuation -- 9.7 Short Rate Models -- 9.7.1 Vasicek -- 9.7.2 Cox, Ingersoll, and Ross -- 9.8 Further Reading -- References -- 10 Options -- 10.1 Obtaining Options Chain Data -- 10.2 Black-Scholes-Merton Options Pricing Model. 10.2.1 BSM Function -- 10.2.2 Put-Call Parity -- 10.2.3 The Greeks -- 10.3 Implied Volatility -- 10.3.1 Implied Volatility Function -- 10.3.2 Volatility Smile -- 10.3.3 Gauging Market Risk -- 10.4 The Cox, Ross, and Rubinstein Binomial OPM -- 10.4.1 CRR: The Long Way -- 10.4.2 CRR Function -- 10.5 American Option Pricing -- 10.5.1 CRR Binomial Tree -- 10.5.2 Bjerksund-Stensland Approximation -- 10.6 Further Reading -- References -- 11 Simulation -- 11.1 Simulating Stock Prices Using Geometric Brownian Motion -- 11.1.1 Simulating Multiple Ending Stock Price Paths -- 11.1.2 Comparing Theoretical to Empirical Distributions -- 11.2 Simulating Stock Prices with and Without Dividends -- 11.3 Simulating Stocks with Correlated Prices -- 11.4 Value-at-Risk Using Simulation -- 11.5 Monte Carlo Pricing of European Options -- 11.6 Monte Carlo Option Pricing Using Antithetic Variables -- 11.7 Exotic Option Valuation -- 11.7.1 Asian Options -- 11.7.2 Lookback Options -- 11.7.3 Barrier Options -- 11.8 Further Reading -- References -- 12 Trading Strategies -- 12.1 Efficient Markets Hypothesis -- 12.1.1 Autocorrelation Test -- 12.1.2 Variance Ratio Test -- 12.1.3 Runs Test -- 12.2 Technical Analysis -- 12.2.1 Trend: Simple Moving Average Crossover -- 12.2.2 Volatility: Bollinger Bands -- 12.2.3 Momentum: Relative Strength Index -- 12.3 Building a Simple Trading Strategy -- 12.4 Machine Learning Techniques -- 12.4.1 General Steps to Apply ML -- 12.4.2 k-Nearest Neighbor Algorithm -- 12.4.3 Regression and k-Fold Cross Validation -- 12.4.4 Artificial Neural Networks -- 12.5 Further Reading -- References -- A Getting Started with R -- A.1 Installing R -- A.2 The R Working Directory -- A.3 R Console Output -- A.4 R Editor -- A.5 Packages -- A.6 Basic Commands -- A.7 The R Workspace -- A.8 Vectors -- A.9 Combining Vectors -- A.10 Matrices -- A.11 data.frame. A.12 Date Formats -- B Pre-Loaded Code -- C Constructing a Hypothetical Portfolio (Monthly Returns) -- D Constructing a Hypothetical Portfolio (Daily Returns) -- Index. |
| Record Nr. | UNINA-9910488695503321 |
|
Ang Clifford S.
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Analyzing financial data and implementing financial models using R / Clifford S. Ang
| Analyzing financial data and implementing financial models using R / Clifford S. Ang |
| Autore | ANG, Clifford S. |
| Pubbl/distr/stampa | Cham [etc.] : Springer, 2015 |
| Descrizione fisica | XVI, 351 p. ; 24 cm |
| Disciplina | 332 |
| Collana | Springer texts in business and economics |
| Soggetto topico |
Finanza - Metodi matematici - Impiego [di] R |
| ISBN | 978-3-319-14074-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996319449103316 |
|
ANG, Clifford S.
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| Cham [etc.] : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Die Anfänge der Gegenwart : Umbrüche in Westeuropa nach dem Boom / / Thomas Schlemmer, Morten Reitmayer
| Die Anfänge der Gegenwart : Umbrüche in Westeuropa nach dem Boom / / Thomas Schlemmer, Morten Reitmayer |
| Autore | Schlemmer Thomas |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | De Gruyter, 2014 |
| Descrizione fisica | 1 online resource (150 p.) |
| Disciplina | 332 |
| Collana | Zeitgeschichte im Gespräch |
| Soggetto topico |
Bankers - Germany
Banks and banking - Germany - History - 19th century |
| Soggetto non controllato |
European history
contemporary history social history |
| ISBN |
1-306-52948-4
3-486-85560-3 |
| Classificazione | NQ 5830 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Frontmatter -- Inhalt -- Der diskrete Charme der Unsicherheit / Schlemmer, Thomas -- Nach dem Boom - eine neue Belle Époque? / Reitmayer, Morten -- Eine Partei nach dem Boom / Mende, Silke -- "Wie man es anstellt, nicht zu viel zu regieren." / Kindtner, Martin -- Flexible Anpassungen und prekäre Sicherheiten / Raphael, Lutz -- Die Manager und McKinsey / Marx, Christian -- Europa an der Waterfront / Gerstung, Tobias -- No Future - Symptome eines Zeit-Geists im Wandel / Esposito, Fernando -- Vom "Erzfeind hinter der Linse" zur Vermarktungsplattform / Jonas, Hannah -- Laufen als Lebensinhalt / Dietrich, Tobias -- Die Vielfalt der Strukturbrüche und die Dynamik des Wandels in der Epoche nach dem Boom / Doering-Manteuffel, Anselm -- Abkürzungen -- Autorinnen und Autoren -- Zeitgeschichte im Gespräch |
| Record Nr. | UNISA-996309103703316 |
|
Schlemmer Thomas
|
||
| De Gruyter, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Die Anfänge der Gegenwart : Umbrüche in Westeuropa nach dem Boom / / Thomas Schlemmer, Morten Reitmayer
| Die Anfänge der Gegenwart : Umbrüche in Westeuropa nach dem Boom / / Thomas Schlemmer, Morten Reitmayer |
| Autore | Schlemmer Thomas |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | De Gruyter, 2014 |
| Descrizione fisica | 1 online resource (150 p.) |
| Disciplina | 332 |
| Collana | Zeitgeschichte im Gespräch |
| Soggetto topico |
Bankers - Germany
Banks and banking - Germany - History - 19th century |
| Soggetto non controllato |
European history
contemporary history social history |
| ISBN |
1-306-52948-4
3-486-85560-3 |
| Classificazione | NQ 5830 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Frontmatter -- Inhalt -- Der diskrete Charme der Unsicherheit / Schlemmer, Thomas -- Nach dem Boom - eine neue Belle Époque? / Reitmayer, Morten -- Eine Partei nach dem Boom / Mende, Silke -- "Wie man es anstellt, nicht zu viel zu regieren." / Kindtner, Martin -- Flexible Anpassungen und prekäre Sicherheiten / Raphael, Lutz -- Die Manager und McKinsey / Marx, Christian -- Europa an der Waterfront / Gerstung, Tobias -- No Future - Symptome eines Zeit-Geists im Wandel / Esposito, Fernando -- Vom "Erzfeind hinter der Linse" zur Vermarktungsplattform / Jonas, Hannah -- Laufen als Lebensinhalt / Dietrich, Tobias -- Die Vielfalt der Strukturbrüche und die Dynamik des Wandels in der Epoche nach dem Boom / Doering-Manteuffel, Anselm -- Abkürzungen -- Autorinnen und Autoren -- Zeitgeschichte im Gespräch |
| Record Nr. | UNINA-9910261099403321 |
|
Schlemmer Thomas
|
||
| De Gruyter, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Anlagenrechnung : theorie und praxis der Abschreibungen / Erich Kosiol
| Anlagenrechnung : theorie und praxis der Abschreibungen / Erich Kosiol |
| Autore | Kosiol, Erich <1899- > |
| Pubbl/distr/stampa | Weisbaden, : Gabler, 1955 |
| Descrizione fisica | 427 p. ; 24 cm |
| Disciplina | 332 |
| Soggetto non controllato | Contabilità |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNINA-990002701650403321 |
|
Kosiol, Erich <1899- >
|
||
| Weisbaden, : Gabler, 1955 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Annals of economics and finance
| Annals of economics and finance |
| Pubbl/distr/stampa | Bethesda, MD, : Peking University Press, USA, 2000- |
| Descrizione fisica | 1 online resource |
| Disciplina | 332 |
| Soggetto topico |
Economics
Finance Wirtschaftswissenschaft Finanzmarkt Finanzsektor |
| Soggetto genere / forma | Periodicals. |
| Soggetto non controllato | Journal |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996205074103316 |
| Bethesda, MD, : Peking University Press, USA, 2000- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Annals of economics and finance
| Annals of economics and finance |
| Pubbl/distr/stampa | Bethesda, MD, : Peking University Press, USA, 2000- |
| Descrizione fisica | 1 online resource |
| Disciplina | 332 |
| Soggetto topico |
Economics
Finance Wirtschaftswissenschaft Finanzmarkt Finanzsektor |
| Soggetto genere / forma | Periodicals. |
| Soggetto non controllato | Journal |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910143804803321 |
| Bethesda, MD, : Peking University Press, USA, 2000- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Annals of finance
| Annals of finance |
| Pubbl/distr/stampa | [Heidelberg] ; ; [New York], : Springer, 2005- |
| Disciplina | 332 |
| Soggetto topico |
Finance - Research
Financial crises - Research Banking, Finance & Investing |
| Soggetto genere / forma | Periodicals. |
| Soggetto non controllato | Finance - General |
| ISSN | 1614-2454 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910145805003321 |
| [Heidelberg] ; ; [New York], : Springer, 2005- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
