NASDAQ:PACW
Delisted
PacWest Bancorp Stock Price (Quote)
$7.54
+0 (+0%)
At Close: Feb 29, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $7.54 | $7.54 | Thursday, 29th Feb 2024 PACW stock ended at $7.54. During the day the stock fluctuated 0% from a day low at $7.54 to a day high of $7.54. |
90 days | $7.54 | $7.54 | |
52 weeks | $2.48 | $27.86 |
Date | Open | High | Low | Close | Volume |
Jul 26, 2023 | $9.79 | $10.10 | $9.25 | $9.76 | 35 863 205 |
Jul 25, 2023 | $10.66 | $11.21 | $7.50 | $7.69 | 49 862 680 |
Jul 24, 2023 | $9.70 | $10.63 | $9.68 | $10.54 | 14 124 904 |
Jul 21, 2023 | $10.20 | $10.23 | $9.53 | $9.71 | 9 605 211 |
Jul 20, 2023 | $10.06 | $10.49 | $9.67 | $9.95 | 17 737 965 |
Jul 19, 2023 | $8.89 | $10.04 | $8.79 | $9.95 | 19 088 743 |
Jul 18, 2023 | $8.24 | $9.20 | $8.18 | $8.94 | 14 791 218 |
Jul 17, 2023 | $8.13 | $8.26 | $7.96 | $8.24 | 5 888 636 |
Jul 14, 2023 | $8.66 | $8.66 | $7.92 | $8.14 | 10 921 150 |
Jul 13, 2023 | $8.34 | $8.50 | $8.19 | $8.46 | 5 611 650 |
Jul 12, 2023 | $8.55 | $8.71 | $8.21 | $8.28 | 7 862 403 |
Jul 11, 2023 | $8.05 | $8.46 | $7.93 | $8.18 | 7 834 836 |
Jul 10, 2023 | $8.05 | $8.29 | $7.90 | $7.97 | 6 171 774 |
Jul 07, 2023 | $8.03 | $8.37 | $8.00 | $8.05 | 7 391 726 |
Jul 06, 2023 | $8.18 | $8.22 | $7.66 | $7.98 | 12 368 431 |
Jul 05, 2023 | $8.33 | $8.47 | $8.17 | $8.42 | 5 753 856 |
Jul 03, 2023 | $8.19 | $8.49 | $8.19 | $8.43 | 4 909 550 |
Jun 30, 2023 | $8.56 | $8.61 | $8.15 | $8.15 | 7 648 162 |
Jun 29, 2023 | $8.40 | $8.66 | $8.30 | $8.43 | 10 388 986 |
Jun 28, 2023 | $7.90 | $8.16 | $7.76 | $8.16 | 6 836 763 |
Jun 27, 2023 | $7.53 | $8.05 | $7.33 | $7.93 | 10 827 972 |
Jun 26, 2023 | $7.66 | $8.05 | $7.49 | $7.52 | 15 691 669 |
Jun 23, 2023 | $6.95 | $7.29 | $6.88 | $7.23 | 16 090 235 |
Jun 22, 2023 | $7.52 | $7.54 | $7.14 | $7.19 | 9 920 217 |
Jun 21, 2023 | $7.53 | $7.81 | $7.45 | $7.64 | 8 143 001 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use PACW stock historical prices to predict future price movements?
Trend Analysis: Examine the PACW stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the PACW stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.