| Journal Article |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| 10 years of stablecoins: Their impact, what we know, and future research directions |
1 |
2 |
9 |
15 |
2 |
6 |
65 |
89 |
| A calendar effect: Weekend overreaction (and subsequent reversal) in spot FX rates |
0 |
0 |
1 |
14 |
4 |
9 |
26 |
83 |
| A three-factor pricing model for cryptocurrencies |
1 |
2 |
6 |
100 |
1 |
5 |
45 |
342 |
| An adoption model of cryptocurrencies |
0 |
0 |
3 |
4 |
1 |
1 |
38 |
47 |
| An early warning indicator for liquidity shortages in the interbank market |
0 |
0 |
0 |
2 |
1 |
1 |
12 |
23 |
| Are stock markets really efficient? Evidence of the adaptive market hypothesis |
2 |
3 |
13 |
119 |
5 |
11 |
71 |
389 |
| Attention allocation and cryptocurrency return co-movement: Evidence from the stock market |
0 |
0 |
2 |
4 |
2 |
2 |
17 |
23 |
| Blockchain factors |
0 |
0 |
6 |
9 |
3 |
16 |
46 |
65 |
| Calendar effects, market conditions and the Adaptive Market Hypothesis: Evidence from long-run U.S. data |
0 |
0 |
4 |
112 |
4 |
6 |
34 |
376 |
| Can altcoins act as hedges or safe-havens for Bitcoin? |
0 |
0 |
0 |
4 |
1 |
3 |
24 |
81 |
| Carbon risk and debt financing: An international perspective |
1 |
2 |
5 |
9 |
2 |
5 |
37 |
43 |
| Central bank digital currencies: A critical review |
1 |
4 |
14 |
35 |
3 |
25 |
90 |
145 |
| Corrigendum to “Spillover effects between fossil energy and green markets: Evidence from informational inefficiency” [Energy EconomicsVolume 131, March 2024, 107317] |
0 |
0 |
1 |
1 |
0 |
1 |
6 |
7 |
| Crypto and digital currencies — nine research priorities |
0 |
0 |
3 |
19 |
0 |
1 |
15 |
56 |
| Cryptocurrencies as a financial asset: A systematic analysis |
4 |
32 |
141 |
658 |
18 |
109 |
581 |
2,175 |
| Cryptocurrency research: future directions |
0 |
0 |
1 |
3 |
0 |
3 |
19 |
30 |
| Demand elasticities of Bitcoin and Ethereum |
0 |
0 |
1 |
6 |
2 |
2 |
47 |
93 |
| Do clean and dirty cryptocurrencies connect financial assets differently? The perspective of market inefficiency |
0 |
0 |
1 |
2 |
1 |
2 |
12 |
24 |
| Do clean and dirty cryptocurrencies connect with financial assets differently? The role of economic policy uncertainty |
0 |
0 |
1 |
7 |
1 |
3 |
21 |
65 |
| Do momentum and reversal strategies work in commodity futures? A comprehensive study |
0 |
0 |
0 |
8 |
2 |
5 |
36 |
62 |
| Does Bitcoin affect decomposed oil shocks differently? Evidence from a quantile-based framework |
0 |
0 |
0 |
2 |
0 |
2 |
32 |
44 |
| Does intraday technical trading have predictive power in precious metal markets? |
2 |
4 |
11 |
28 |
15 |
25 |
83 |
157 |
| Does twitter predict Bitcoin? |
0 |
1 |
10 |
106 |
6 |
13 |
110 |
488 |
| Dynamic efficiency and arbitrage potential in Bitcoin: A long-memory approach |
0 |
0 |
0 |
16 |
0 |
3 |
17 |
68 |
| Efficient or adaptive markets? Evidence from major stock markets using very long run historic data |
0 |
2 |
13 |
159 |
2 |
6 |
33 |
490 |
| Female CFOs, leverage and the moderating role of board diversity and CEO power |
0 |
1 |
2 |
10 |
1 |
7 |
23 |
103 |
| Forecasting Bitcoin volatility using machine learning techniques |
0 |
1 |
9 |
12 |
2 |
9 |
72 |
105 |
| Forecasting GDP growth rates in the United States and Brazil using Google Trends |
0 |
0 |
3 |
5 |
18 |
19 |
36 |
66 |
| Forecasting the volatility of Bitcoin: The importance of jumps and structural breaks |
0 |
3 |
5 |
13 |
0 |
9 |
33 |
70 |
| Future directions in international financial integration research - A crowdsourced perspective |
0 |
0 |
0 |
31 |
2 |
3 |
15 |
189 |
| High‐frequency trading from an evolutionary perspective: Financial markets as adaptive systems |
0 |
0 |
0 |
8 |
1 |
1 |
20 |
42 |
| How exactly do markets adapt? Evidence from the moving average rule in three developed markets |
0 |
1 |
1 |
18 |
2 |
10 |
35 |
141 |
| How predictable are precious metal returns? |
0 |
0 |
1 |
9 |
4 |
6 |
18 |
68 |
| Information demand and cryptocurrency market activity |
0 |
0 |
0 |
9 |
0 |
0 |
12 |
69 |
| Intraday time series momentum: Global evidence and links to market characteristics |
0 |
1 |
2 |
10 |
10 |
38 |
93 |
126 |
| Investigating risk contagion initiated by endogenous liquidity shocks: evidence from the US and eurozone interbank markets |
0 |
0 |
0 |
2 |
0 |
0 |
8 |
28 |
| Investor sentiment and local bias in extreme circumstances: The case of the Blitz |
0 |
0 |
0 |
6 |
0 |
3 |
18 |
81 |
| Is Bitcoin a hedge or safe haven for currencies? An intraday analysis |
0 |
3 |
8 |
79 |
1 |
8 |
60 |
393 |
| Labor investment inefficiency and LGBTQ+-friendliness |
0 |
0 |
0 |
1 |
0 |
0 |
8 |
15 |
| Liquidity risk contagion in the interbank market |
0 |
0 |
0 |
16 |
19 |
20 |
37 |
148 |
| MAX momentum in cryptocurrency markets |
0 |
2 |
3 |
32 |
3 |
8 |
38 |
130 |
| Macroeconomic momentum and cross-sectional equity market indices |
0 |
0 |
2 |
3 |
2 |
7 |
57 |
64 |
| Modeling Price and Variance Jump Clustering Using the Marked Hawkes Process* |
1 |
2 |
3 |
5 |
4 |
7 |
34 |
40 |
| Naval disasters, world war two and the British stock market |
0 |
0 |
0 |
15 |
0 |
1 |
18 |
58 |
| No Cryptocurrency Experience Required: Managerial Characteristics in Cryptocurrency Fund Performance |
2 |
2 |
5 |
15 |
2 |
2 |
12 |
29 |
| Nonlinearity everywhere: implications for empirical finance, technical analysis and value at risk |
1 |
1 |
4 |
7 |
1 |
1 |
11 |
18 |
| Optimal vs naïve diversification in cryptocurrencies |
1 |
1 |
5 |
21 |
2 |
5 |
27 |
107 |
| Pairs trading across Mainland China and Hong Kong stock markets |
0 |
1 |
1 |
5 |
3 |
5 |
20 |
37 |
| Political uncertainty and sentiment: Evidence from the impact of Brexit on financial markets |
0 |
0 |
0 |
17 |
0 |
0 |
14 |
62 |
| Political uncertainty and the 2012 US presidential election: A cointegration study of prediction markets, polls and a stand-out expert |
0 |
1 |
1 |
16 |
0 |
3 |
14 |
83 |
| Portfolio management with cryptocurrencies: The role of estimation risk |
0 |
1 |
3 |
96 |
0 |
3 |
42 |
341 |
| Price clustering in Bitcoin |
0 |
0 |
4 |
72 |
5 |
9 |
42 |
305 |
| Sampling frequency and the performance of different types of technical trading rules |
0 |
0 |
1 |
37 |
2 |
6 |
23 |
103 |
| Scoring goals: The impact of English Premier League football teams on local university admissions |
0 |
1 |
2 |
2 |
1 |
3 |
18 |
29 |
| Should investors include Bitcoin in their portfolios? A portfolio theory approach |
0 |
2 |
14 |
61 |
3 |
8 |
59 |
239 |
| Spillover effects between fossil energy and green markets: Evidence from informational inefficiency |
0 |
0 |
0 |
3 |
1 |
2 |
23 |
32 |
| Stylized facts of intraday precious metals |
0 |
0 |
1 |
2 |
1 |
2 |
25 |
45 |
| Technical trading and cryptocurrencies |
1 |
1 |
7 |
27 |
20 |
42 |
93 |
176 |
| The Brexit vote and currency markets |
0 |
0 |
1 |
26 |
23 |
25 |
45 |
238 |
| The Euro and European stock market efficiency |
0 |
0 |
1 |
16 |
2 |
3 |
13 |
64 |
| The efficiency of Bitcoin: A strongly typed genetic programming approach to smart electronic Bitcoin markets |
0 |
0 |
0 |
19 |
3 |
8 |
39 |
120 |
| The financial impact of financial fair play regulation: Evidence from the English premier league |
0 |
0 |
16 |
36 |
2 |
11 |
119 |
207 |
| The inefficiency of Bitcoin |
0 |
4 |
36 |
608 |
8 |
32 |
170 |
1,637 |
| The instability of stablecoins |
1 |
2 |
7 |
14 |
1 |
4 |
52 |
82 |
| The intraday dynamics of bitcoin |
0 |
0 |
2 |
16 |
7 |
17 |
63 |
171 |
| The performance of technical trading rules in Socially Responsible Investments |
0 |
0 |
1 |
12 |
0 |
0 |
23 |
54 |
| The role of interpersonal trust in cryptocurrency adoption |
0 |
0 |
1 |
10 |
1 |
3 |
42 |
88 |
| The role of media coverage in the bubble formation: Evidence from the Bitcoin market |
0 |
0 |
1 |
10 |
1 |
2 |
24 |
57 |
| The unintended consequence of social media criticisms: an earnings management perspective |
0 |
0 |
1 |
1 |
2 |
5 |
13 |
20 |
| Time-varying dependence between Bitcoin and green financial assets: A comparison between pre- and post-COVID-19 periods |
1 |
1 |
3 |
13 |
20 |
22 |
39 |
62 |
| UK Vice Chancellor compensation: Do they get what they deserve? |
0 |
0 |
0 |
1 |
0 |
0 |
14 |
23 |
| Ultra-high-frequency lead–lag relationship and information arrival |
0 |
1 |
10 |
18 |
0 |
3 |
20 |
40 |
| Uncertainty of uncertainty and firm cash holdings |
0 |
0 |
7 |
30 |
3 |
6 |
49 |
113 |
| Under the hood of the Ethereum blockchain |
0 |
0 |
1 |
22 |
0 |
0 |
20 |
58 |
| War and stock markets: The effect of World War Two on the British stock market |
0 |
0 |
6 |
120 |
3 |
7 |
75 |
504 |
| What causes the attention of Bitcoin? |
0 |
0 |
3 |
108 |
0 |
5 |
22 |
334 |
| What drives Bitcoin’s price crash risk? |
0 |
0 |
1 |
18 |
0 |
1 |
22 |
103 |
| What effect did the introduction of Bitcoin futures have on the Bitcoin spot market? |
0 |
0 |
3 |
14 |
1 |
4 |
44 |
67 |
| Why have UK universities become more indebted over time? |
0 |
1 |
1 |
4 |
0 |
1 |
11 |
24 |
| Total Journal Articles |
20 |
86 |
435 |
3,223 |
263 |
671 |
3,494 |
13,073 |
LogEc is hosted by the
Örebro University School of Business.