臺灣博碩士論文加值系統

本研究分析加密貨幣與台灣相關概念股價格的關係，運用Detzel, Liu., Strauss, Zhou, and Zhu (2018).的移動平均線理論為基礎，將加密貨幣的移動平均線MA交易策略，應用在篩選的個股中並記錄其回報，因前10大資本額的加密貨幣在2015年後才有至少過半數的交易數據，故採用2015年1月1日至2019年12月31日的資料進行分析。首先探討加密貨幣價格與台灣挖礦產業鏈的關聯，觀察加密貨幣價格的變動是否影響台灣相關概念股票的價格，結果發現以太幣(ETH)的關聯性最高。
隨後我們利用移動平均線來建構加密貨幣的動能交易策略，相較單純買進並持有的投資，採取移動平均線MA操作策略後，能顯著提升以太幣(ETH)的累積報酬率，最後我們將此策略，應用在篩選出來的12檔個股，跟隨以太幣(ETH)的操作時點，也同步買進或賣出，其中11檔個股的累積期間報酬都高於一般的買進持有策略。
實證發現投資多數的台灣加密貨幣相關概念股，可以透過觀察加密貨幣中的以太幣(ETH)，並利用技術分析可以提高投資的報酬率，篩選的個股中只有台積電策略報酬低於一般買進持有，可能因本身是台灣加權股價指數的重要成份股，所以股價表現與台股指數的連動性較高，故若以參考加密貨幣走勢來投資個股，則可排除台積電作為持股。

This study discusses the relationship between Cryptocurrency price and Taiwan’s Cryptocurrency stocks price. We followed the trading strategy of the moving average (MA). Then we recorded the return of Taiwan’s Cryptocurrency stocks. The analysis period was from January 1, 2015 to December 31, 2019. First of all, this paper observes whether the price change of cryptocurrency affects the price of related stocks in Taiwan. The result shows that ETH has the highest correlation.
Then we use the moving average to construct the momentum trading strategy of cryptocurrency. Compared with the investment method of buying and holding. The MA operation strategy can improve the cumulative rate of return significantly. Finally, we apply this strategy to the 12 stocks screened out, following the timing of ETH to buy or sell. There are 11 stocks that returns are higher than buying and holding strategy.
The empirical results show that when investing in most of cryptocurrency related stocks in Taiwan. We can observe the price of ETH, and use technical analysis to improve the return rate. The strategic return of selected stocks, only the TSMC is lower than that buying and holding strategic. Maybe TSMC is an important component of TAIEX, the performance is linked with the Taiwan stock index Therefore, if we invest stocks by referring to the trend of cryptocurrency, we can exclude TSMC as the shareholding.

目次
摘要 i
ABSTRACT ii
目次 iv
表目次 vi
圖目次 vii
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 4
第三節 研究架構 5
第二章 文獻探討 6
第一節 數字貨幣的發展 6
第二節 加密貨幣運用在投資領域之相關研究 9
第三章 資料來源與研究方法 12
第一節 資料選取與來源 12
第二節 分析方法 16
第三節 策略與績效衡量 19
第四章 實證結果與分析 22
第一節 加密貨幣與概念股平均股價 22
第二節 個股與主要加密貨幣 25
第三節 加密貨幣操作策略 29
第五章 結論與建議 31
第一節 結論 31
第二節 建議 32
參考文獻 33
附錄 37
一、 比特幣(Bitcoin) 37
二、 以太幣(Ethereum) 37
三、 瑞波幣(Ripple) 38
四、 泰達幣 (Tether) 39
五、 比特幣現金(Bitcoin Cash) 40
六、 萊特幣(Litecoin) 40
七、 柚子幣(EOS) 41
八、 幣安幣(Binance Coin) 42
九、 比特幣SV(Bitcoin SV) 43
十、 恆星幣(Stellar) 43

參考文獻
楊馥安 (2015)。虛擬貨幣的可投資性研究-以比特幣為例。中原大學企業管理研究所。
莊秋欣 (2017)。三種虛擬貨幣之比較與股市關聯性之研究。中原大學企業管理研究所。
吳承軒 (2018)。比特幣價格與挖礦股股價關係之研究。中國文化大學商學院財務金融系。
白經睿 (2019)。比特幣價格與臺灣比特幣概念股股價的關聯。淡江大學經濟學系。
楊政家 (2019)。技術分析在加密貨幣上的預測與投資應用。國立中興大學財務金融學系。
Adrian, T., & Mancini, G. T. (2019). The Rise of Digital Money. International Monetary Fund.
Alberiko, L., Joel, E., & Fátima, M. (2019). Cryptocurrencies and stock market indices. Are they related?
Asness, C. S., Moskowitz, T. J., & Pedersen, L. H. (2013). Value and momentum everywhere. The Journal of Finance,68(3), 929-985.
Athey, S., Parashkevov, I., Sarukkai, V., & Xia, J. (2016). Bitcoin pricing, adoption, and usage: Theory and evidence.
Baumöhl, E. (2018). Are cryptocurrencies connected to forex? A quantile cross-spectral approach. Finance Research Letters.
Biais, B., Bisiere, C., Bouvard, M., Casamatta, C., & Menkveld, A. J. (2018). Equilibrium bitcoin pricing.
Bouri, E., Molnár, P., Azzi, G., Roubaud, D., & Hagfors, L. I. (2017). On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier? Finance Research Letters, 20, 192-198.
Briere, M., Oosterlinck, K., & Szafarz, A. (2015). Virtual currency, tangible return: Portfolio diversification with bitcoin. Journal of Asset Management, 16(6), 365-373.
Cao, S., Cong, L. W., & Yang, B. (2018). Auditing and blockchains: Pricing, misstatements, and regulation.
Ciaian, P., Rajcaniova, M., & Kancs, D. A. (2016). The economics of BitCoin price formation. Applied Economics, 48(19), 1799-1815.
Ciaian, P., Rajcaniova, M., & Kancs, D. A. (2018). Virtual relationships: Short-and long-run evidence from BitCoin and altcoin markets. Journal of International Financial Markets, Institutions and Money, 52, 173-195.
Cong, L. W., Li, Y., & Wang, N. (2018). Tokenomics: Dynamic adoption and valuation.
Corbet, S., Lucey, B., & Yarovaya, L. (2018). Datestamping the Bitcoin and Ethereum bubbles. Finance Research Letters, 26, 81-88.
Detzel, A. L., Liu, H., Strauss, J., Zhou, G., & Zhu, Y. (2018). Bitcoin: Learning, predictability and profitability via technical analysis.
Dyhrberg, A. H. (2016). Hedging capabilities of bitcoin. Is it the virtual gold? Finance Research Letters, 16, 139-144.
Garay, J., Kiayias, A., & Leonardos, N. (2015). The bitcoin backbone protocol: Analysis and applications.
Härdle, W. K., Harvey, C. R., & Reule, R. C. G. (2019). Understanding cryptocurrencies.
Hayes, A. S. (2017). Cryptocurrency value formation: An empirical study leading to a cost of production model for valuing bitcoin. Telematics and Informatics, 34(7), 1308-1321.
Klein, T., Thu, H. P., & Walther, T. (2018). Bitcoin is not the New Gold–A comparison of volatility, correlation, and portfolio performance. International Review of Financial Analysis, 59, 105-116.
Kristoufek, L. (2015). What are the main drivers of the Bitcoin price? Evidence from wavelet coherence analysis.
Lustig, H., Roussanov, N., &Verdelhan, A. (2011). Common risk factors in currency markets. The Review of Financial Studies, 24(11), 3731-3777.
Muglia, C., Santabarbara, L., & Grassi, S. (2019). Is Bitcoin a Relevant Predictor of Standard & Poor''s 500? Journal of Risk and Financial Management, 12(2), 93.
Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System
Prat, J., & Walter, B. (2018). An equilibrium model of the market for bitcoin mining.
Raza, A. (2015). Are Value Strategies Profitable in the Foreign Exchange Market?
Shi, S. (2017). The impact of futures trading on intraday spot volatility and liquidity: evidence from bitcoin market.