語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Price and Prejudice : = An Empirical...
~
ProQuest Information and Learning Co.
Price and Prejudice : = An Empirical Look at the Value Formation of Bitcoin.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Price and Prejudice :/
其他題名:
An Empirical Look at the Value Formation of Bitcoin.
作者:
Doster, David.
面頁冊數:
1 online resource (53 pages)
附註:
Source: Masters Abstracts International, Volume: 57-05.
標題:
Economics. -
電子資源:
click for full text (PQDT)
ISBN:
9780355915341
Price and Prejudice : = An Empirical Look at the Value Formation of Bitcoin.
Doster, David.
Price and Prejudice :
An Empirical Look at the Value Formation of Bitcoin. - 1 online resource (53 pages)
Source: Masters Abstracts International, Volume: 57-05.
Thesis (M.S.)--The University of North Carolina at Charlotte, 2018.
Includes bibliographical references
Bitcoin price formation has been the topic of many studies due to the recent rise in popularity of cryptocurrencies around the globe. The problem not only lies with attempting to find how the value of this currency is established, but finding a framework that best describes how Bitcoin is created. In this paper, a modified version of Barro's framework is used, along with other prior frameworks, in an attempt to model pricing variation and formation for Bitcoin. To find causality, a simple VAR(p) model is used as a starting point, where the lag-order is selected based on BIC. This model includes various network statistics, Bitcoin popularity measures, commodity prices, and financial markets to identify potential pricing factors which could be argued to cause changes in Bitcoin price. A multivariate GARCH approach (MGARCH) is then used to fortify this model by not only modeling these causal relationships but modeling changes in volatility, eventually using Google trends to explain volatility changes in Bitcoin prices. According to these models, Bitcoin price formation follows an AR(1) process with ARCH/GARCH effects where these ARCH/GARCH effects can be explained by Bitcoin popularity. Due to the returns of Bitcoin relying on past information, a violation of the efficient market hypothesis may be present, meaning that arbitrage may exist in the Bitcoin market.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780355915341Subjects--Topical Terms:
555568
Economics.
Index Terms--Genre/Form:
554714
Electronic books.
Price and Prejudice : = An Empirical Look at the Value Formation of Bitcoin.
LDR
:02538ntm a2200325K 4500
001
915879
005
20180823122930.5
006
m o u
007
cr mn||||a|a||
008
190606s2018 xx obm 000 0 eng d
020
$a
9780355915341
035
$a
(MiAaPQ)AAI10812950
035
$a
(MiAaPQ)uncc:11720
035
$a
AAI10812950
040
$a
MiAaPQ
$b
eng
$c
MiAaPQ
100
1
$a
Doster, David.
$3
1189412
245
1 0
$a
Price and Prejudice :
$b
An Empirical Look at the Value Formation of Bitcoin.
264
0
$c
2018
300
$a
1 online resource (53 pages)
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
500
$a
Source: Masters Abstracts International, Volume: 57-05.
500
$a
Adviser: Craig A. Depken.
502
$a
Thesis (M.S.)--The University of North Carolina at Charlotte, 2018.
504
$a
Includes bibliographical references
520
$a
Bitcoin price formation has been the topic of many studies due to the recent rise in popularity of cryptocurrencies around the globe. The problem not only lies with attempting to find how the value of this currency is established, but finding a framework that best describes how Bitcoin is created. In this paper, a modified version of Barro's framework is used, along with other prior frameworks, in an attempt to model pricing variation and formation for Bitcoin. To find causality, a simple VAR(p) model is used as a starting point, where the lag-order is selected based on BIC. This model includes various network statistics, Bitcoin popularity measures, commodity prices, and financial markets to identify potential pricing factors which could be argued to cause changes in Bitcoin price. A multivariate GARCH approach (MGARCH) is then used to fortify this model by not only modeling these causal relationships but modeling changes in volatility, eventually using Google trends to explain volatility changes in Bitcoin prices. According to these models, Bitcoin price formation follows an AR(1) process with ARCH/GARCH effects where these ARCH/GARCH effects can be explained by Bitcoin popularity. Due to the returns of Bitcoin relying on past information, a violation of the efficient market hypothesis may be present, meaning that arbitrage may exist in the Bitcoin market.
533
$a
Electronic reproduction.
$b
Ann Arbor, Mich. :
$c
ProQuest,
$d
2018
538
$a
Mode of access: World Wide Web
650
4
$a
Economics.
$3
555568
650
4
$a
Finance.
$3
559073
655
7
$a
Electronic books.
$2
local
$3
554714
690
$a
0501
690
$a
0508
710
2
$a
ProQuest Information and Learning Co.
$3
1178819
710
2
$a
The University of North Carolina at Charlotte.
$b
Economics.
$3
1183663
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10812950
$z
click for full text (PQDT)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入