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Credit Market in Morocco : : A Disequilibrium Approach / / Nada Oulidi, Laurence Allain
| Credit Market in Morocco : : A Disequilibrium Approach / / Nada Oulidi, Laurence Allain |
| Autore | Oulidi Nada |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2009 |
| Descrizione fisica | 1 online resource (20 p.) |
| Disciplina | 338.9669 |
| Altri autori (Persone) | AllainLaurence |
| Collana | IMF Working Papers |
| Soggetto topico |
Credit control - Morocco - Mathematical models
Credit - Morocco - Mathematical models Banks and Banking Finance: General Money and Monetary Policy Real Estate Macroeconomics Banks Depository Institutions Micro Finance Institutions Mortgages Financial Institutions and Services: General Monetary Policy, Central Banking, and the Supply of Money and Credit: General Real Estate Markets, Spatial Production Analysis, and Firm Location: General General Financial Markets: General (includes Measurement and Data) Interest Rates: Determination, Term Structure, and Effects Price Level Inflation Deflation Monetary economics Finance Property & real estate Credit Real estate prices Bank credit Stock markets Real interest rates Money Prices Financial markets Asset prices Housing Stock exchanges Interest rates |
| ISBN |
1-4623-9613-5
1-4527-5310-5 9786612842757 1-282-84275-7 1-4518-7201-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Contents; I. Introduction; II. Overview of Credit Market Developments; Figures; 1. Required Bank Reserves and Official Reserves, 2000-07; 2. Treasury Bill Rate, 2000-07; 3. Private Sector Credit in Percent of GDP, 2000-07; 4. Structure of Banking System Assets; 5. Credit to the Economy (2002=100); 6. Evolution of Real Estate Stock Market Index; III. Literature Review; IV. Estimation Strategy; V. Estimation Results; VI. Concluding Remarks; Appendixes; I. Unit Root Tests; II. Cointegration Tests; References |
| Record Nr. | UNINA-9910788339303321 |
Oulidi Nada
|
||
| Washington, D.C. : , : International Monetary Fund, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Credit Market in Morocco : : A Disequilibrium Approach / / Nada Oulidi, Laurence Allain
| Credit Market in Morocco : : A Disequilibrium Approach / / Nada Oulidi, Laurence Allain |
| Autore | Oulidi Nada |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2009 |
| Descrizione fisica | 1 online resource (20 p.) |
| Disciplina | 338.9669 |
| Altri autori (Persone) | AllainLaurence |
| Collana | IMF Working Papers |
| Soggetto topico |
Credit control - Morocco - Mathematical models
Credit - Morocco - Mathematical models Banks and Banking Finance: General Money and Monetary Policy Real Estate Macroeconomics Banks Depository Institutions Micro Finance Institutions Mortgages Financial Institutions and Services: General Monetary Policy, Central Banking, and the Supply of Money and Credit: General Real Estate Markets, Spatial Production Analysis, and Firm Location: General General Financial Markets: General (includes Measurement and Data) Interest Rates: Determination, Term Structure, and Effects Price Level Inflation Deflation Monetary economics Finance Property & real estate Credit Real estate prices Bank credit Stock markets Real interest rates Money Prices Financial markets Asset prices Housing Stock exchanges Interest rates |
| ISBN |
1-4623-9613-5
1-4527-5310-5 9786612842757 1-282-84275-7 1-4518-7201-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Contents; I. Introduction; II. Overview of Credit Market Developments; Figures; 1. Required Bank Reserves and Official Reserves, 2000-07; 2. Treasury Bill Rate, 2000-07; 3. Private Sector Credit in Percent of GDP, 2000-07; 4. Structure of Banking System Assets; 5. Credit to the Economy (2002=100); 6. Evolution of Real Estate Stock Market Index; III. Literature Review; IV. Estimation Strategy; V. Estimation Results; VI. Concluding Remarks; Appendixes; I. Unit Root Tests; II. Cointegration Tests; References |
| Record Nr. | UNINA-9910825900203321 |
|
Oulidi Nada
|
||
| Washington, D.C. : , : International Monetary Fund, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Currency Risk Premia in Global Stock Markets / / Matthew Merritt, Shaun Roache
| Currency Risk Premia in Global Stock Markets / / Matthew Merritt, Shaun Roache |
| Autore | Merritt Matthew |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2006 |
| Descrizione fisica | 1 online resource (27 p.) |
| Altri autori (Persone) | RoacheShaun |
| Collana | IMF Working Papers |
| Soggetto topico |
Foreign exchange rates
Foreign exchange market Banks and Banking Finance: General Foreign Exchange Investments: General Money and Monetary Policy Financing Policy Financial Risk and Risk Management Capital and Ownership Structure Value of Firms Goodwill Monetary Systems Standards Regimes Government and the Monetary System Payment Systems General Financial Markets: General (includes Measurement and Data) Investment Capital Intangible Capital Capacity Financial services law & regulation Monetary economics Finance Macroeconomics Currency Foreign exchange Exchange rate risk Currencies Stock markets Return on investment Exchange rates Financial risk management Money Stock exchanges Saving and investment |
| ISBN |
1-4623-9621-6
1-4527-4610-9 1-282-44794-7 1-4519-9116-9 9786613821140 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ""Contents""; ""I. INTRODUCTION""; ""II. PREVIOUS LITERATURE""; ""III. MODEL SPECIFICATION ""; ""IV. ESTIMATION""; ""V. DATA AND PRELIMINARY STATISTICS""; ""VI. MAIN RESULTS""; ""VII. CONCLUSIONS""; ""REFERENCES"" |
| Record Nr. | UNINA-9910788524003321 |
|
Merritt Matthew
|
||
| Washington, D.C. : , : International Monetary Fund, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Currency Risk Premia in Global Stock Markets / / Matthew Merritt, Shaun Roache
| Currency Risk Premia in Global Stock Markets / / Matthew Merritt, Shaun Roache |
| Autore | Merritt Matthew |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2006 |
| Descrizione fisica | 1 online resource (27 p.) |
| Altri autori (Persone) | RoacheShaun |
| Collana | IMF Working Papers |
| Soggetto topico |
Foreign exchange rates
Foreign exchange market Banks and Banking Finance: General Foreign Exchange Investments: General Money and Monetary Policy Financing Policy Financial Risk and Risk Management Capital and Ownership Structure Value of Firms Goodwill Monetary Systems Standards Regimes Government and the Monetary System Payment Systems General Financial Markets: General (includes Measurement and Data) Investment Capital Intangible Capital Capacity Financial services law & regulation Monetary economics Finance Macroeconomics Currency Foreign exchange Exchange rate risk Currencies Stock markets Return on investment Exchange rates Financial risk management Money Stock exchanges Saving and investment |
| ISBN |
1-4623-9621-6
1-4527-4610-9 1-282-44794-7 1-4519-9116-9 9786613821140 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ""Contents""; ""I. INTRODUCTION""; ""II. PREVIOUS LITERATURE""; ""III. MODEL SPECIFICATION ""; ""IV. ESTIMATION""; ""V. DATA AND PRELIMINARY STATISTICS""; ""VI. MAIN RESULTS""; ""VII. CONCLUSIONS""; ""REFERENCES"" |
| Record Nr. | UNINA-9910814667903321 |
|
Merritt Matthew
|
||
| Washington, D.C. : , : International Monetary Fund, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Designing stock market trading systems : with and without soft computing / / by Dr. Bruce Vanstone and Tobias Hahn
| Designing stock market trading systems : with and without soft computing / / by Dr. Bruce Vanstone and Tobias Hahn |
| Autore | Vanstone Bruce |
| Pubbl/distr/stampa | Petersfield [Great Britain] : , : Harriman House, , 2010 |
| Descrizione fisica | 1 online resource (xv, 240 p. ) : charts (some col.) |
| Disciplina | 262 |
| Altri autori (Persone) | HahnTobias |
| Soggetto topico |
Stock exchanges
Stock price forecasting Soft computing Stocks |
| Soggetto genere / forma | Electronic books. |
| ISBN | 0-85719-135-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PrefaceAcknowledgementsIntroduction1. Designing Stock Market Trading Systems1.1 Introduction1.2 Motivation1.3 Scope and Data1.4 The Efficient Market Hypothesis1.5 The Illusion of Knowledge1.6 Investing versus Trading1.6.1 Investing1.6.2 Trading1.7 Building a Mechanical Stock Market Trading System1.8 The Place of Soft Computing1.9 How to Use this Book2. Introduction to Trading2.1 Introduction2.2 Different Approaches to Trading2.2.1 Direction of trading2.2.2 Time frame of trading2.2.3 Type of behaviour exploited2.2.3.1 Trend-based trading2.2.3.2 Breakout trading2.2.3.3 Momentum trading2.2.3.4 Mean reversion trading2.2.3.5 High-frequency trading2.3 Conclusion2.4 The Next Step3. Fundamental Variables3.1 Introduction3.1.1 Benjamin Graham and value investing3.2 Informational Advantage and Market Efficiency3.3 A Note on Adjustments3.4 Core Strategies3.4.1 Intrinsic value estimates3.4.2 Fundamental filters3.4.3 Ranking filters3.5 The elements of a fundamentals-based filter3.5.1 Wealth of a firm and its shareholders3.5.1.1 Book value3.5.1.2 Current assets vs. current liabilities3.5.1.3 Leverage metrics3.5.2 Earnings capacity3.5.3 Ability to generate cash3.6 Fundamental Ratios and Industry Comparisons3.7 A Final Note on Cross-country Investing Research3.8 The Next Step3.9 Case Study: Analysing a Variable3.9.1 Introduction3.9.2 Example - P/E ratio3.9.3 Wealth-Lab3.9.4 SPSS3.9.5 Outliers4. Technical Variables4.1 Introduction4.1.1 Charting4.1.2 Technical indicators4.1.3 Other approaches4.2 Charting and Pattern Analysis4.3 Technical Indicators4.3.1 Intermarket analysis4.3.2 Moving averages4.3.3 Volume4.3.4 Momentum indicators4.3.4.1 Moving Average Convergence/Divergence (MACD)4.3.4.2 Relative Strength Indicator (RSI)4.4 Alternative Approaches4.5 On Use and Misuse of Technical Analysis4.6 Case Study: Does Technical Analysis Have Any Credibility?5. Soft Computing5.1 Introduction5.1.1 Types of soft computing5.1.2 Expert systems5.1.3 Case-based reasoning5.1.4 Genetic algorithms5.1.5 Swarm intelligence5.1.6 Artificial neural networks5.2 Review of Research5.2.1 Soft computing classification5.2.2 Research into time series prediction5.2.3 Research into pattern recognition and classification5.2.4 Research into optimisation5.2.5 Research into ensemble approaches5.3 Conclusion5.4 The Next Step6. Creating Artificial Neural Networks6.1 Introduction6.2 Expressing Your Problem6.3 Partitioning Data6.4 Finding Variables of Influence6.5 ANN Architecture Choices6.6 ANN Training6.6.1 Momentum6.6.2 Training rate6.7 ANN In-sample Testing6.8 Conclusion6.9 The Next Step7. Trading Systems and Distributions7.1 Introduction7.2 Studying a Group of Trades7.2.1 Average profitability metrics7.2.1.1 The students t-test7.2.1.2 The runs test7.2.2 Winning metrics7.2.3 Losing metrics7.2.4 Summary metrics7.2.5 Distributions7.2.5.1 Short-term distribution7.2.5.2 Medium-term distribution7.2.5.3 Long-term distribution7.2.6 Comparing two sets of raw trades7.3 Conclusions7.4 The Next Step8. Position Sizing8.1 Introduction8.1.1 Fixed position sizing8.1.2 Kelly method8.1.3 Optimal-f8.1.4 Percentage of equity8.1.5 Maximum risk percentage8.1.6 Martingale8.1.7 Anti-martingale8.2 Pyramiding8.3 Conclusions8.4 The Next Step9. Risk9.1 Introduction9.2 Trade Risk9.2.1 Stop-loss orders9.2.2 Using maximum adverse excursion (MAE) to select the stop-loss threshold9.3 Risk of Ruin9.4 Portfolio Risk9.5 Additional Portfolio Metrics9.6 Monte Carlo Analysis9.7 Case Study: Are Stops Useful in Trend Trading System?10. Case Studies10.1 Introduction10.2 A Note about Data10.3 A Note about the Case Studies10.4 Building a Technical Trading System with Neural Networks10.4.1 Splitting data10.4.2 Benchmark initial rules10.4.3 Identify specific problems10.4.4 Identify inputs and outputs for the ANN10.4.5 Train the networks10.4.6 Derive money management and risk settings10.4.7 In-sample benchmarking10.4.8 Out-of-sample benchmarking10.4.9 Decide on final product10.5 Building a fundamental trading system with neural networks10.5.1 Splitting data10.5.2 Benchmark initial rules10.5.3 Identify specific problems10.5.4 Identify inputs and outputs for ANN10.5.5 Train the networks10.5.6 Derive money management and risk settings10.5.7 In-sample benchmarking10.5.8 Out-of-sample benchmarking10.5.9 Decide on final productFinal ThoughtsAppendicesScript SegmentsBibliographyIndex |
| Record Nr. | UNINA-9910465044703321 |
|
Vanstone Bruce
|
||
| Petersfield [Great Britain] : , : Harriman House, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Designing stock market trading systems : with and without soft computing / / by Dr. Bruce Vanstone and Tobias Hahn
| Designing stock market trading systems : with and without soft computing / / by Dr. Bruce Vanstone and Tobias Hahn |
| Autore | Vanstone Bruce |
| Pubbl/distr/stampa | Petersfield [Great Britain] : , : Harriman House, , 2010 |
| Descrizione fisica | 1 online resource (xv, 240 p. ) : charts (some col.) |
| Disciplina | 262 |
| Altri autori (Persone) | HahnTobias |
| Soggetto topico |
Stock exchanges
Stock price forecasting Soft computing Stocks |
| ISBN | 0-85719-135-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PrefaceAcknowledgementsIntroduction1. Designing Stock Market Trading Systems1.1 Introduction1.2 Motivation1.3 Scope and Data1.4 The Efficient Market Hypothesis1.5 The Illusion of Knowledge1.6 Investing versus Trading1.6.1 Investing1.6.2 Trading1.7 Building a Mechanical Stock Market Trading System1.8 The Place of Soft Computing1.9 How to Use this Book2. Introduction to Trading2.1 Introduction2.2 Different Approaches to Trading2.2.1 Direction of trading2.2.2 Time frame of trading2.2.3 Type of behaviour exploited2.2.3.1 Trend-based trading2.2.3.2 Breakout trading2.2.3.3 Momentum trading2.2.3.4 Mean reversion trading2.2.3.5 High-frequency trading2.3 Conclusion2.4 The Next Step3. Fundamental Variables3.1 Introduction3.1.1 Benjamin Graham and value investing3.2 Informational Advantage and Market Efficiency3.3 A Note on Adjustments3.4 Core Strategies3.4.1 Intrinsic value estimates3.4.2 Fundamental filters3.4.3 Ranking filters3.5 The elements of a fundamentals-based filter3.5.1 Wealth of a firm and its shareholders3.5.1.1 Book value3.5.1.2 Current assets vs. current liabilities3.5.1.3 Leverage metrics3.5.2 Earnings capacity3.5.3 Ability to generate cash3.6 Fundamental Ratios and Industry Comparisons3.7 A Final Note on Cross-country Investing Research3.8 The Next Step3.9 Case Study: Analysing a Variable3.9.1 Introduction3.9.2 Example - P/E ratio3.9.3 Wealth-Lab3.9.4 SPSS3.9.5 Outliers4. Technical Variables4.1 Introduction4.1.1 Charting4.1.2 Technical indicators4.1.3 Other approaches4.2 Charting and Pattern Analysis4.3 Technical Indicators4.3.1 Intermarket analysis4.3.2 Moving averages4.3.3 Volume4.3.4 Momentum indicators4.3.4.1 Moving Average Convergence/Divergence (MACD)4.3.4.2 Relative Strength Indicator (RSI)4.4 Alternative Approaches4.5 On Use and Misuse of Technical Analysis4.6 Case Study: Does Technical Analysis Have Any Credibility?5. Soft Computing5.1 Introduction5.1.1 Types of soft computing5.1.2 Expert systems5.1.3 Case-based reasoning5.1.4 Genetic algorithms5.1.5 Swarm intelligence5.1.6 Artificial neural networks5.2 Review of Research5.2.1 Soft computing classification5.2.2 Research into time series prediction5.2.3 Research into pattern recognition and classification5.2.4 Research into optimisation5.2.5 Research into ensemble approaches5.3 Conclusion5.4 The Next Step6. Creating Artificial Neural Networks6.1 Introduction6.2 Expressing Your Problem6.3 Partitioning Data6.4 Finding Variables of Influence6.5 ANN Architecture Choices6.6 ANN Training6.6.1 Momentum6.6.2 Training rate6.7 ANN In-sample Testing6.8 Conclusion6.9 The Next Step7. Trading Systems and Distributions7.1 Introduction7.2 Studying a Group of Trades7.2.1 Average profitability metrics7.2.1.1 The students t-test7.2.1.2 The runs test7.2.2 Winning metrics7.2.3 Losing metrics7.2.4 Summary metrics7.2.5 Distributions7.2.5.1 Short-term distribution7.2.5.2 Medium-term distribution7.2.5.3 Long-term distribution7.2.6 Comparing two sets of raw trades7.3 Conclusions7.4 The Next Step8. Position Sizing8.1 Introduction8.1.1 Fixed position sizing8.1.2 Kelly method8.1.3 Optimal-f8.1.4 Percentage of equity8.1.5 Maximum risk percentage8.1.6 Martingale8.1.7 Anti-martingale8.2 Pyramiding8.3 Conclusions8.4 The Next Step9. Risk9.1 Introduction9.2 Trade Risk9.2.1 Stop-loss orders9.2.2 Using maximum adverse excursion (MAE) to select the stop-loss threshold9.3 Risk of Ruin9.4 Portfolio Risk9.5 Additional Portfolio Metrics9.6 Monte Carlo Analysis9.7 Case Study: Are Stops Useful in Trend Trading System?10. Case Studies10.1 Introduction10.2 A Note about Data10.3 A Note about the Case Studies10.4 Building a Technical Trading System with Neural Networks10.4.1 Splitting data10.4.2 Benchmark initial rules10.4.3 Identify specific problems10.4.4 Identify inputs and outputs for the ANN10.4.5 Train the networks10.4.6 Derive money management and risk settings10.4.7 In-sample benchmarking10.4.8 Out-of-sample benchmarking10.4.9 Decide on final product10.5 Building a fundamental trading system with neural networks10.5.1 Splitting data10.5.2 Benchmark initial rules10.5.3 Identify specific problems10.5.4 Identify inputs and outputs for ANN10.5.5 Train the networks10.5.6 Derive money management and risk settings10.5.7 In-sample benchmarking10.5.8 Out-of-sample benchmarking10.5.9 Decide on final productFinal ThoughtsAppendicesScript SegmentsBibliographyIndex |
| Record Nr. | UNINA-9910789147103321 |
|
Vanstone Bruce
|
||
| Petersfield [Great Britain] : , : Harriman House, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Designing stock market trading systems : with and without soft computing / / by Dr. Bruce Vanstone and Tobias Hahn
| Designing stock market trading systems : with and without soft computing / / by Dr. Bruce Vanstone and Tobias Hahn |
| Autore | Vanstone Bruce |
| Pubbl/distr/stampa | Petersfield [Great Britain] : , : Harriman House, , 2010 |
| Descrizione fisica | 1 online resource (xv, 240 p. ) : charts (some col.) |
| Disciplina | 262 |
| Altri autori (Persone) | HahnTobias |
| Soggetto topico |
Stock exchanges
Stock price forecasting Soft computing Stocks |
| ISBN | 0-85719-135-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PrefaceAcknowledgementsIntroduction1. Designing Stock Market Trading Systems1.1 Introduction1.2 Motivation1.3 Scope and Data1.4 The Efficient Market Hypothesis1.5 The Illusion of Knowledge1.6 Investing versus Trading1.6.1 Investing1.6.2 Trading1.7 Building a Mechanical Stock Market Trading System1.8 The Place of Soft Computing1.9 How to Use this Book2. Introduction to Trading2.1 Introduction2.2 Different Approaches to Trading2.2.1 Direction of trading2.2.2 Time frame of trading2.2.3 Type of behaviour exploited2.2.3.1 Trend-based trading2.2.3.2 Breakout trading2.2.3.3 Momentum trading2.2.3.4 Mean reversion trading2.2.3.5 High-frequency trading2.3 Conclusion2.4 The Next Step3. Fundamental Variables3.1 Introduction3.1.1 Benjamin Graham and value investing3.2 Informational Advantage and Market Efficiency3.3 A Note on Adjustments3.4 Core Strategies3.4.1 Intrinsic value estimates3.4.2 Fundamental filters3.4.3 Ranking filters3.5 The elements of a fundamentals-based filter3.5.1 Wealth of a firm and its shareholders3.5.1.1 Book value3.5.1.2 Current assets vs. current liabilities3.5.1.3 Leverage metrics3.5.2 Earnings capacity3.5.3 Ability to generate cash3.6 Fundamental Ratios and Industry Comparisons3.7 A Final Note on Cross-country Investing Research3.8 The Next Step3.9 Case Study: Analysing a Variable3.9.1 Introduction3.9.2 Example - P/E ratio3.9.3 Wealth-Lab3.9.4 SPSS3.9.5 Outliers4. Technical Variables4.1 Introduction4.1.1 Charting4.1.2 Technical indicators4.1.3 Other approaches4.2 Charting and Pattern Analysis4.3 Technical Indicators4.3.1 Intermarket analysis4.3.2 Moving averages4.3.3 Volume4.3.4 Momentum indicators4.3.4.1 Moving Average Convergence/Divergence (MACD)4.3.4.2 Relative Strength Indicator (RSI)4.4 Alternative Approaches4.5 On Use and Misuse of Technical Analysis4.6 Case Study: Does Technical Analysis Have Any Credibility?5. Soft Computing5.1 Introduction5.1.1 Types of soft computing5.1.2 Expert systems5.1.3 Case-based reasoning5.1.4 Genetic algorithms5.1.5 Swarm intelligence5.1.6 Artificial neural networks5.2 Review of Research5.2.1 Soft computing classification5.2.2 Research into time series prediction5.2.3 Research into pattern recognition and classification5.2.4 Research into optimisation5.2.5 Research into ensemble approaches5.3 Conclusion5.4 The Next Step6. Creating Artificial Neural Networks6.1 Introduction6.2 Expressing Your Problem6.3 Partitioning Data6.4 Finding Variables of Influence6.5 ANN Architecture Choices6.6 ANN Training6.6.1 Momentum6.6.2 Training rate6.7 ANN In-sample Testing6.8 Conclusion6.9 The Next Step7. Trading Systems and Distributions7.1 Introduction7.2 Studying a Group of Trades7.2.1 Average profitability metrics7.2.1.1 The students t-test7.2.1.2 The runs test7.2.2 Winning metrics7.2.3 Losing metrics7.2.4 Summary metrics7.2.5 Distributions7.2.5.1 Short-term distribution7.2.5.2 Medium-term distribution7.2.5.3 Long-term distribution7.2.6 Comparing two sets of raw trades7.3 Conclusions7.4 The Next Step8. Position Sizing8.1 Introduction8.1.1 Fixed position sizing8.1.2 Kelly method8.1.3 Optimal-f8.1.4 Percentage of equity8.1.5 Maximum risk percentage8.1.6 Martingale8.1.7 Anti-martingale8.2 Pyramiding8.3 Conclusions8.4 The Next Step9. Risk9.1 Introduction9.2 Trade Risk9.2.1 Stop-loss orders9.2.2 Using maximum adverse excursion (MAE) to select the stop-loss threshold9.3 Risk of Ruin9.4 Portfolio Risk9.5 Additional Portfolio Metrics9.6 Monte Carlo Analysis9.7 Case Study: Are Stops Useful in Trend Trading System?10. Case Studies10.1 Introduction10.2 A Note about Data10.3 A Note about the Case Studies10.4 Building a Technical Trading System with Neural Networks10.4.1 Splitting data10.4.2 Benchmark initial rules10.4.3 Identify specific problems10.4.4 Identify inputs and outputs for the ANN10.4.5 Train the networks10.4.6 Derive money management and risk settings10.4.7 In-sample benchmarking10.4.8 Out-of-sample benchmarking10.4.9 Decide on final product10.5 Building a fundamental trading system with neural networks10.5.1 Splitting data10.5.2 Benchmark initial rules10.5.3 Identify specific problems10.5.4 Identify inputs and outputs for ANN10.5.5 Train the networks10.5.6 Derive money management and risk settings10.5.7 In-sample benchmarking10.5.8 Out-of-sample benchmarking10.5.9 Decide on final productFinal ThoughtsAppendicesScript SegmentsBibliographyIndex |
| Record Nr. | UNINA-9910825704303321 |
|
Vanstone Bruce
|
||
| Petersfield [Great Britain] : , : Harriman House, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Dow theory forecasts
| Dow theory forecasts |
| Pubbl/distr/stampa | [Hammond, Ind.], : [Dow Theory Forecasts, Inc.] |
| Descrizione fisica | 1 online resource |
| Disciplina | 332.6 |
| Soggetto topico |
Banks and banking
Stock exchanges Bourse |
| Soggetto genere / forma |
Newsletters.
Statistics Statistics. Periodicals. Lettres d'informations. Statistiques. |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996204954403316 |
| [Hammond, Ind.], : [Dow Theory Forecasts, Inc.] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Dow theory forecasts
| Dow theory forecasts |
| Pubbl/distr/stampa | [Hammond, Ind.], : [Dow Theory Forecasts, Inc.] |
| Descrizione fisica | 1 online resource |
| Disciplina | 332.6 |
| Soggetto topico |
Banks and banking
Stock exchanges Bourse |
| Soggetto genere / forma |
Newsletters.
Statistics Statistics. Periodicals. Lettres d'informations. Statistiques. |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910339523303321 |
| [Hammond, Ind.], : [Dow Theory Forecasts, Inc.] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Economic Integration and Financial Stability : : A European Perspective / / Gianni De Nicolo, Alexander Tieman
| Economic Integration and Financial Stability : : A European Perspective / / Gianni De Nicolo, Alexander Tieman |
| Autore | De Nicolo Gianni |
| Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2006 |
| Descrizione fisica | 1 online resource (30 p.) |
| Altri autori (Persone) | TiemanAlexander |
| Collana | IMF Working Papers |
| Soggetto topico |
Fiscal policy - Europe - Econometric models
Finance - Europe - Econometric models Banks and Banking Finance: General Industries: Financial Services Macroeconomics Financial Aspects of Economic Integration Banks Depository Institutions Micro Finance Institutions Mortgages Insurance Insurance Companies Actuarial Studies General Financial Markets: Government Policy and Regulation General Financial Markets: General (includes Measurement and Data) Pension Funds Non-bank Financial Institutions Financial Instruments Institutional Investors Personal Income, Wealth, and Their Distributions Finance Banking Systemic risk Stock markets Financial integration Insurance companies Financial sector policy and analysis Financial markets Financial institutions Personal income National accounts Financial risk management Stock exchanges Banks and banking International finance Income |
| ISBN |
1-4623-4171-3
1-4527-0371-X 1-283-51309-9 9786613825544 1-4519-1009-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Economic Integration and Financial Stability: A European Perspective""; ""Contents""; ""I. INTRODUCTION""; ""II. SYNCHRONIZATION OF REAL ACTIVITY""; ""III. EQUITY MARKETS INTEGRATION""; ""IV. SYSTEMIC RISK AND INTEGRATION""; ""V. CONCLUSION""; ""Table 1. EGARCH Estimates for the Common Components of IPG""; ""Table 2. EGARCH Estimates for Cross-Country Variances of IPG and De-Trended IPG""; ""Table 3. Country-by-Country EGARCH Estimates for IPG""; ""Table 4. Dependent Variables: Cross-Country Variance of IEDFs and Country IEDFs""
""Table 5. Dependent Variables: Cross-Country Variance of Portfolios� DDs""""Table 6. Dependent Variable: Banks DDs Changes""; ""Table 7. Dependent Variable: Insurance DDs Changes""; ""Appendix Table 1. Banks and Insurance Companies""; ""REFERENCES"" |
| Record Nr. | UNINA-9910788408903321 |
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De Nicolo Gianni
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| Washington, D.C. : , : International Monetary Fund, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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