Ultra Petroleum Corp. (UPL)
Sector: | Materials |
| |
Super Investor Stats: | |
Ownership count: | 0 |
Ownership rank: | -- |
% of all portfolios: | 0% |
| |
History |
Portfolio Manager |
Activity |
Share change |
% change to portfolio ▼ |
Q4 2019 |
≡ |
Howard Marks - Oaktree Capital Management |
Sell 100.00% |
590,799 |
0.00 |
Q1 2019 |
≡ |
Howard Marks - Oaktree Capital Management |
Reduce 7.14% |
45,426 |
0.00 |
Q4 2018 |
≡ |
Howard Marks - Oaktree Capital Management |
Reduce 6.93% |
47,407 |
0.00 |
Q3 2018 |
≡ |
Howard Marks - Oaktree Capital Management |
Reduce 3.50% |
24,827 |
0.00 |
Q1 2018 |
≡ |
Howard Marks - Oaktree Capital Management |
Reduce 10.11% |
79,707 |
0.01 |
Q3 2017 |
≡ |
Howard Marks - Oaktree Capital Management |
Reduce 4.24% |
34,878 |
0.01 |
Q2 2017 |
≡ |
Howard Marks - Oaktree Capital Management |
Buy |
823,044 |
0.27 |
Q1 2016 |
≡ |
Prem Watsa - Fairfax Financial Holdings |
Sell 100.00% |
58,200 |
0.01 |
Q3 2015 |
≡ |
Prem Watsa - Fairfax Financial Holdings |
Add 79.08% |
25,700 |
0.01 |
Q4 2013 |
≡ |
Prem Watsa - Fairfax Financial Holdings |
Add 142.54% |
19,100 |
0.03 |
Q2 2013 |
≡ |
Meridian Contrarian Fund |
Sell 100.00% |
303,700 |
0.91 |
≡ |
Prem Watsa - Fairfax Financial Holdings |
Reduce 59.88% |
20,000 |
0.01 |
Q1 2013 |
≡ |
Prem Watsa - Fairfax Financial Holdings |
Add 110.06% |
17,500 |
0.02 |
Q4 2012 |
≡ |
Prem Watsa - Fairfax Financial Holdings |
Buy |
15,900 |
0.01 |
Q3 2011 |
≡ |
Meridian Contrarian Fund |
Add 7.13% |
20,200 |
0.09 |
Q1 2011 |
≡ |
Meridian Contrarian Fund |
Add 41.19% |
82,700 |
0.47 |
Q4 2010 |
≡ |
Meridian Contrarian Fund |
Add 37.82% |
55,100 |
0.30 |
Q3 2010 |
≡ |
Meridian Contrarian Fund |
Add 58.20% |
53,600 |
0.28 |
Q2 2010 |
≡ |
Meridian Contrarian Fund |
Buy |
92,100 |
0.54 |
* "Hold Price" is the last known price at which an investor still held a security. It is the closing price of the security as of the portfolio date (quarter end). This value is only provided when a security is owned by at least two investors. In the case of reporting dates being different, a weighted average price is calculated.