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논문 기본 정보

자료유형
학위논문
저자정보

손세도 (전북대학교, 전북대학교 일반대학원)

지도교수
이헌상
발행연도
2021
저작권
전북대학교 논문은 저작권에 의해 보호받습니다.

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이 논문의 연구 히스토리 (2)

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This study aims to study about Bitcoin and analyze the relationship between the price and transaction volume of Bitcoin, the correlation between Bitcoin and major altcoins, and the relationship with assets which is currently on trade in the market.
First, as a result of analyzing the dynamic relationship between Bitcoin price and its transaction volume, there was a difference between the price and transaction due to time difference, but they became reason variables of each other. In the result of the shock response analysis, there was no mutual reaction, and in the analysis result of the variance decomposition, it came out to explain itself.
Second, the study looked at the result from analyzing the correlation between Bitcoin and major altcoins such as Ethereum, EOS, and Ripple. As a result of the analysis through the shock response function, Bitcoin showed a negative (-) continuous response to the Ethereum shock. On the other hand, EOS and Ripple showed a positive (+) reaction. Ethereum, EOS, and Ripple were affected by the impact of Bitcoin, and it was confirmed that the reaction was maintained with a positive (+) response. As a result of the variance decomposition analysis, Bitcoin was generally self-explanatory. In the case of other coins, it was confirmed that the explanatory power of Bitcoin was from 16% to 75%, and this study confirmed that the influence of Bitcoin in the cryptocurrency market is large.
Third, the causal relationship between Bitcoin and assets currently traded in the market, Nasdaq, Gold, Crude Oil, KOSPI, and KOSDAQ, was analyzed. Through the analysis, it was discovered that Bitcoin is the causal variable of the Nasdaq, crude oil, and KOSPI prices, and it was concluded that there is no mutual precedence or trailing relationship between gold and KOSDAQ. As a result of the impact response analysis, Bitcoin continued to show a positive response to the stock and futures shock after 1 hour. However, it was confirmed that they showed a negative (-) reaction to gold, revealing opposite characteristics. In response to the impact of Bitcoin, assets other than gold showed only a slight positive (+) reaction, and gold showed a negative (-) response. In the results of the variance decomposition analysis, Bitcoin and assets had mutual explanatory power. It was confirmed that the explanatory power of Bitcoin''s existing assets was higher.
Fourth, the study compared symmetric fluctuation and asymmetric fluctuation of Bitcoin, Nasdaq, Gold, Crude Oil, KOSPI, KOSDAQ through the TGARCH model. According to the overall period and market movement, the analysis was divided into three different periods. As a result, the symmetric volatility of Bitcoin was higher than that of existing assets. However, it turned out that it gradually decreased to the same level as the stock market as a result by period. It was confirmed that the asymmetric volatility was not high when compared to other assets, but rather the asymmetric volatility of the domestic stock market was greater. The results derived from this analysis can be thought of as a result of the fact that the cryptocurrency market fluctuates rapidly while operating 24 hours a day and is measured daily rather than reflected. It can also be said that Bitcoin has properties similar to stocks.
research on the domestic premium, which is the premium of cryptocurrencies in Korea, also needs to be conducted, and I think that better research will be done by analyzing the data when DB is created.

목차

Ⅰ. 서론 1
제1절 연구의 배경 및 목적 1
제2절 연구의 방법 및 범위 6
Ⅱ. 이론적 배경 및 선행연구 7
제1절 디지털 화폐 7
1. 디지털 화폐의 의의 7
2. 디지털 화폐의 개념 9
3. 블록체인 11
제2절 암호화폐 및 비트코인(Bitcoin) 13
1. 암호화폐 13
2. 비트코인 14
2.1. 비트코인의 개념 14
2.2. 비트코인의 발전 15
2.3. 비트코인의 의의 16
3. 비트코인의 특징 17
4. 비트코인의 문제점 18
4.1. 디플레이션 화폐 18
4.2. 가격 변동성 19
4.3. 취약한 보안성 20
4.4. 제한적 수용성 21
4.5. 긴 거래 승인시간 21
4.6. 높은 사회적 비용 21
제3절 알트코인(Altcoin) 23
1. 알트코인의 개념 23
2. 주요 알트코인 24
2.1. 이더리움(ETH) 26
2.2. 리플(XRP) 27
2.3. 이오스(EOS) 28
제4절 선행연구 29
1. 자산적인 측면의 선행연구 29
2. 금융 지표와의 관계에 대한 선행연구 33
3. 변동성 측면의 선행연구 35
Ⅲ. 가설 설정 및 연구모형 37
제1절 연구가설 설정 37
제2절 자료 40
제3절 연구방법론 41
1. 벡터자기회귀(Vector Autoregressive)모형과 벡터오차수정(Vector Error Correction) 모형 41
1.1. 단위근 검정(Unit Root Test) 44
1.2. 공적분 검정(Cointergration Test) 45
1.3. 충격반응분석(Impulse Response) 46
1.4. 분산분해분석(Variance Decomposition) 47
2. 일반 자기회귀 조건부 이분산성(Generalized Autoregressive Conditional Heteroskedasticity) 48
Ⅳ. 실증분석 51
제1절 기초통계량 51
제2절 비트코인 동적관계 분석 56
1. 충격반응함수 56
2. 분산분해 57
제3절 비트코인과 알트코인의 상호관계 59
1. 충격반응함수 61
2. 분산분해 63
제4절 비트코인과 시장 자산과의 상호관계 66
1. 충격반응함수 68
2. 분산분해 72
제5절 암호화폐와 시장 자산 변동성 분석 76
1. 전체 기간 분석 76
2. 기간별 분석 79
Ⅴ. 결론 84
참고문헌 88

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