PRICE FORMATION IN THE CRYPTOCURRENCY MARKET.: A HYPOTHESES DRIVEN ECONOMETRIC ANALYSIS OF CRYPTOCURRENCY PRICE DETERMINANTS
Cryptocurrencies have become one of the hottest topics in finance in recent years. Despite their fascinating appeal to the general public, the understanding of the price formation process of blockchain-based cryptocurrencies is still limited. This thesis analyzes factors influencing the price of the...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
[S.l.] :
DIPLOMICA VERLAG,
2019.
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| Schriftenreihe: | Alternative Investments.
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Cryptocurrencies have become one of the hottest topics in finance in recent years. Despite their fascinating appeal to the general public, the understanding of the price formation process of blockchain-based cryptocurrencies is still limited. This thesis analyzes factors influencing the price of the five cryptocurrencies Bitcoin, Ethereum, Dash, Litecoin, and Monero in the time between January 2014 and July 2017. The developed hypotheses are based on economic theory and related fields to explain cryptocurrency prices. To test the hypotheses, a Granger Causality study by estimating vector autoregressive models, vector error correction models, and autoregressive distributed lag models is conducted. |
| Beschreibung: | 1 online resource |
| ISBN: | 3961462380 9783961462384 |
Internformat
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| 520 | |a Cryptocurrencies have become one of the hottest topics in finance in recent years. Despite their fascinating appeal to the general public, the understanding of the price formation process of blockchain-based cryptocurrencies is still limited. This thesis analyzes factors influencing the price of the five cryptocurrencies Bitcoin, Ethereum, Dash, Litecoin, and Monero in the time between January 2014 and July 2017. The developed hypotheses are based on economic theory and related fields to explain cryptocurrency prices. To test the hypotheses, a Granger Causality study by estimating vector autoregressive models, vector error correction models, and autoregressive distributed lag models is conducted. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Price formation in the cryptocurrency market. A hypotheses driven econometric analysis of cryptocurrency price determinants -- Abstract -- Contents -- List of Figures -- List of Tables -- List of Abbreviations -- List of Symbols -- 1. Introduction -- 2. A brief Overview of Cryptocurrencies -- 2.1. Double-spending, blockchain, ledger protection, and mining -- 2.2. Stylized facts -- the current state of cryptocurrencies -- 3. Literature Review -- 3.1. The four fields of research -- 3.2. Asset or currency? -- 3.3. Dynamics of cryptocurrency exchange rates -- 4. Hypotheses Development | |
| 505 | 8 | |a 4.1. Classical market forces of supply and demand -- 4.2. Public attention -- 4.3. Dominance in the cryptocurrency market -- 4.4. Technological factors -- 4.5. Macroeconomic development -- 5. Data and Methodology -- 5.1. Cryptocurrency selection procedure -- 5.2. Variables, interpolation and descriptive statistics -- 5.3. Econometric approach -- 5.4. Transformation, unit-root test, cointegration, and model definition -- 6. Empirical Results and Discussion -- 6.1. Results for model (m1) -- 6.2. Results for model (m2) -- 6.3. Results for model (m3) -- 6.4. Results for model (m4) | |
| 505 | 8 | |a 6.5. Summary of results for all models -- 7. Conclusion -- Literature -- A. Descriptive Statistics | |
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| contents | Price formation in the cryptocurrency market. A hypotheses driven econometric analysis of cryptocurrency price determinants -- Abstract -- Contents -- List of Figures -- List of Tables -- List of Abbreviations -- List of Symbols -- 1. Introduction -- 2. A brief Overview of Cryptocurrencies -- 2.1. Double-spending, blockchain, ledger protection, and mining -- 2.2. Stylized facts -- the current state of cryptocurrencies -- 3. Literature Review -- 3.1. The four fields of research -- 3.2. Asset or currency? -- 3.3. Dynamics of cryptocurrency exchange rates -- 4. Hypotheses Development 4.1. Classical market forces of supply and demand -- 4.2. Public attention -- 4.3. Dominance in the cryptocurrency market -- 4.4. Technological factors -- 4.5. Macroeconomic development -- 5. Data and Methodology -- 5.1. Cryptocurrency selection procedure -- 5.2. Variables, interpolation and descriptive statistics -- 5.3. Econometric approach -- 5.4. Transformation, unit-root test, cointegration, and model definition -- 6. Empirical Results and Discussion -- 6.1. Results for model (m1) -- 6.2. Results for model (m2) -- 6.3. Results for model (m3) -- 6.4. Results for model (m4) 6.5. Summary of results for all models -- 7. Conclusion -- Literature -- A. Descriptive Statistics |
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| series | Alternative Investments. |
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| spelling | König, Lukas M. PRICE FORMATION IN THE CRYPTOCURRENCY MARKET. A HYPOTHESES DRIVEN ECONOMETRIC ANALYSIS OF CRYPTOCURRENCY PRICE DETERMINANTS [electronic resource]. [S.l.] : DIPLOMICA VERLAG, 2019. 1 online resource Alternative Investments ; v.22 Cryptocurrencies have become one of the hottest topics in finance in recent years. Despite their fascinating appeal to the general public, the understanding of the price formation process of blockchain-based cryptocurrencies is still limited. This thesis analyzes factors influencing the price of the five cryptocurrencies Bitcoin, Ethereum, Dash, Litecoin, and Monero in the time between January 2014 and July 2017. The developed hypotheses are based on economic theory and related fields to explain cryptocurrency prices. To test the hypotheses, a Granger Causality study by estimating vector autoregressive models, vector error correction models, and autoregressive distributed lag models is conducted. Print version record. Price formation in the cryptocurrency market. A hypotheses driven econometric analysis of cryptocurrency price determinants -- Abstract -- Contents -- List of Figures -- List of Tables -- List of Abbreviations -- List of Symbols -- 1. Introduction -- 2. A brief Overview of Cryptocurrencies -- 2.1. Double-spending, blockchain, ledger protection, and mining -- 2.2. Stylized facts -- the current state of cryptocurrencies -- 3. Literature Review -- 3.1. The four fields of research -- 3.2. Asset or currency? -- 3.3. Dynamics of cryptocurrency exchange rates -- 4. Hypotheses Development 4.1. Classical market forces of supply and demand -- 4.2. Public attention -- 4.3. Dominance in the cryptocurrency market -- 4.4. Technological factors -- 4.5. Macroeconomic development -- 5. Data and Methodology -- 5.1. Cryptocurrency selection procedure -- 5.2. Variables, interpolation and descriptive statistics -- 5.3. Econometric approach -- 5.4. Transformation, unit-root test, cointegration, and model definition -- 6. Empirical Results and Discussion -- 6.1. Results for model (m1) -- 6.2. Results for model (m2) -- 6.3. Results for model (m3) -- 6.4. Results for model (m4) 6.5. Summary of results for all models -- 7. Conclusion -- Literature -- A. Descriptive Statistics Cryptocurrencies. http://id.loc.gov/authorities/subjects/sh2018001347 Digital currency. http://id.loc.gov/authorities/subjects/sh2018001348 Cryptomonnaie. Monnaie électronique. cryptocurrencies. aat Cryptocurrencies fast Digital currency fast has work: Price formation in the cryptocurrency market (Text) https://id.oclc.org/worldcat/entity/E39PD3Q7tKwR7BVdD4KbfYrcyd https://id.oclc.org/worldcat/ontology/hasWork Print version: König, Lukas M. Price formation in the cryptocurrency market. A hypotheses driven econometric analysis of cryptocurrency price determinants Hamburg : Diplomica Verlag,c2019 9783961467389 Alternative Investments. FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2709651 Volltext |
| spellingShingle | König, Lukas M. PRICE FORMATION IN THE CRYPTOCURRENCY MARKET. A HYPOTHESES DRIVEN ECONOMETRIC ANALYSIS OF CRYPTOCURRENCY PRICE DETERMINANTS Alternative Investments. Price formation in the cryptocurrency market. A hypotheses driven econometric analysis of cryptocurrency price determinants -- Abstract -- Contents -- List of Figures -- List of Tables -- List of Abbreviations -- List of Symbols -- 1. Introduction -- 2. A brief Overview of Cryptocurrencies -- 2.1. Double-spending, blockchain, ledger protection, and mining -- 2.2. Stylized facts -- the current state of cryptocurrencies -- 3. Literature Review -- 3.1. The four fields of research -- 3.2. Asset or currency? -- 3.3. Dynamics of cryptocurrency exchange rates -- 4. Hypotheses Development 4.1. Classical market forces of supply and demand -- 4.2. Public attention -- 4.3. Dominance in the cryptocurrency market -- 4.4. Technological factors -- 4.5. Macroeconomic development -- 5. Data and Methodology -- 5.1. Cryptocurrency selection procedure -- 5.2. Variables, interpolation and descriptive statistics -- 5.3. Econometric approach -- 5.4. Transformation, unit-root test, cointegration, and model definition -- 6. Empirical Results and Discussion -- 6.1. Results for model (m1) -- 6.2. Results for model (m2) -- 6.3. Results for model (m3) -- 6.4. Results for model (m4) 6.5. Summary of results for all models -- 7. Conclusion -- Literature -- A. Descriptive Statistics Cryptocurrencies. http://id.loc.gov/authorities/subjects/sh2018001347 Digital currency. http://id.loc.gov/authorities/subjects/sh2018001348 Cryptomonnaie. Monnaie électronique. cryptocurrencies. aat Cryptocurrencies fast Digital currency fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2018001347 http://id.loc.gov/authorities/subjects/sh2018001348 |
| title | PRICE FORMATION IN THE CRYPTOCURRENCY MARKET. A HYPOTHESES DRIVEN ECONOMETRIC ANALYSIS OF CRYPTOCURRENCY PRICE DETERMINANTS |
| title_auth | PRICE FORMATION IN THE CRYPTOCURRENCY MARKET. A HYPOTHESES DRIVEN ECONOMETRIC ANALYSIS OF CRYPTOCURRENCY PRICE DETERMINANTS |
| title_exact_search | PRICE FORMATION IN THE CRYPTOCURRENCY MARKET. A HYPOTHESES DRIVEN ECONOMETRIC ANALYSIS OF CRYPTOCURRENCY PRICE DETERMINANTS |
| title_full | PRICE FORMATION IN THE CRYPTOCURRENCY MARKET. A HYPOTHESES DRIVEN ECONOMETRIC ANALYSIS OF CRYPTOCURRENCY PRICE DETERMINANTS [electronic resource]. |
| title_fullStr | PRICE FORMATION IN THE CRYPTOCURRENCY MARKET. A HYPOTHESES DRIVEN ECONOMETRIC ANALYSIS OF CRYPTOCURRENCY PRICE DETERMINANTS [electronic resource]. |
| title_full_unstemmed | PRICE FORMATION IN THE CRYPTOCURRENCY MARKET. A HYPOTHESES DRIVEN ECONOMETRIC ANALYSIS OF CRYPTOCURRENCY PRICE DETERMINANTS [electronic resource]. |
| title_short | PRICE FORMATION IN THE CRYPTOCURRENCY MARKET. |
| title_sort | price formation in the cryptocurrency market a hypotheses driven econometric analysis of cryptocurrency price determinants |
| title_sub | A HYPOTHESES DRIVEN ECONOMETRIC ANALYSIS OF CRYPTOCURRENCY PRICE DETERMINANTS |
| topic | Cryptocurrencies. http://id.loc.gov/authorities/subjects/sh2018001347 Digital currency. http://id.loc.gov/authorities/subjects/sh2018001348 Cryptomonnaie. Monnaie électronique. cryptocurrencies. aat Cryptocurrencies fast Digital currency fast |
| topic_facet | Cryptocurrencies. Digital currency. Cryptomonnaie. Monnaie électronique. cryptocurrencies. Cryptocurrencies Digital currency |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2709651 |
| work_keys_str_mv | AT koniglukasm priceformationinthecryptocurrencymarketahypothesesdriveneconometricanalysisofcryptocurrencypricedeterminants |