The 2024 presidential election may be one of the biggest market-moving catalysts in the last several months of the year. It's too early to speculate about a potential winner, but investors have gotten more clarity about the candidates and their platforms in the past several months. Vice Presid...
2024's 10 Best-Performing Stocks The best-performing stocks of the year aren't household names, but they show what's hot in the market. Wayne DugganJan. 2, 2025 10 Best-Performing ETFs of 2024 These funds all trounced the returns of the S&P 500 in 2024. ...
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Since this variable was positively skewed, we log transformed it before using it in the below OLS regression analyses. In line with the labour economics literature (Miller, 1960, Mincer, 1975, Day and Newburger, 2002, Wadensjö & Andersson 2004), a gig worker's educational credentials, the...
This is, for me, the danger of focusing too much on ‘hope’ rather than action to transform our society in the present moment. I am not talking about it in a literal, mean-spirited fashion that we should promote hopelessness. We want to give joy and love in everything we do. However...
As can be seen the relationship is very good, with a correlation of 93%, and indeed only shows a 'disconnect' during 2006, when the sector reacted positively to the forthcoming REIT legislation. The shortcomings of the accuracy Fig 2: Comparison of actual vs. implied NAV movements British ...
"markets generally react positively to the degree of uncertainty that is removed following the presidential election result, even if the full details of policy in the years to come are still not fully defined." glen smith, ceo and chief investment officer at gds wealth management, says inve...
These transformations can help make the data conform more closely to a normal distribution. For example, if the data is positively skewed, applying a logarithmic transformation can compress the larger values and spread out the smaller values, making the distribution more symmetric. Similarly, if the...
That is, positively phrased and negatively phrased items tend to cluster together. For the other scales (i.e., the SELSA, DLS, LACA, RPLQ, and PNDLS), which include several subscales, evidence on the factor structure was generally in line with the proposed factor structure, except for ...
In terms of control variables, CVC reputation (β = 0.084, p < 0.01), CVC status (β = 0.136, p < 0.05), CVC lead (β = 0.247, p < 0.01), past innovation (β = 0.399, p < 0.01), and geographic distance (β = 0.065, p < 0.01) are positively related to firm innovation. ...