Morad Zekhnini’s research while affiliated with Michigan State University and other places

... De Boer [39] incorporates intangible assets into the ratio of total assets to enterprise value and discovers a strong relationship between the ratio and anticipated stock performance in the future. Gulen, et al. [40] demonstrate the benefits of accounting for intangibles in terms of value, investment, and profitability. Thus, we can conclude that the importance of accounting for intangibles is examined throughout a broader range in addition to being emphasized by the beneficial effect on the value factor. ...

Reference:

The impact of green innovations accounting on firm value: Moderating role of intangible assets in Saudi industrial sector

... Traditionally, over-indebtedness prediction models rely on individual enterprise data, such as governance structures and financial ratios, to construct feature sets. However, with the growing sophistication of social network theory and its applications in financial analysis, some studies have incorporated external information, such as co-analyst follow-up relationships [10] and peer relationship [11], to predict over-indebtedness. Nevertheless, existing research primarily focuses on relational tie data and often overlooks the influence of the underlying social network structure formed by these ties in predicting over-indebtedness. ...

Reference:

An attributed network features learning method for over-indebtedness prediction

... Lastly, Gulen et al. (2022) showed that incorporating intangibles into the empirical factor models of French (1993, 2015) and Hou et al. (2015) significantly improved these models, especially over recent decades during which intangible investments became increasingly important. In addition, Peters and Taylor (2017) argued that there is a role for intangible capital in neoclassical investment theory. ...

Reference:

The Puzzling Convergence of Intangible Investments

... One area of the literature that has received substantial attention in recent years is the geographical component of peer effects. In particular, due to the interactions and knowledge spillovers among neighboring firms in shared geographical areas, recent studies have shown that local peer effects are significantly important for determining firms' investment decisions (Dougal et al. 2015 andGrieser et al. 2021), earnings forecasts announcements (Matsumoto et al., 2022) and corporate social responsibility activities (Li and Wang, 2022). However, despite the vast analysis of local peer influence and local spillover effects, the literature has overlooked the importance of local peer behaviour on firms' corporate payout decisions. ...

Reference:

Local Peer Influence on Corporate Payout Decisions

... Regarding point two, Berger et al. (2021) point out that greater financial integration and democratization of credit positively influence the growth of the level of economic activity and therefore growth. Along the same lines, Levy (2014) states that these measures must be accompanied by a monetary policy that promotes the channeling of savings through new credit policies towards the key productive sectors of the economy. ...

Reference:

Short-term effects of productive credit, savings and money demand on Ecuador’s economic growth, 2006–2020

... [ common fundamental factor as in Grieser, Lee, and Zekhnini (2020), leading to return predictability. Specifically, firms with neighboring codes may share similar fundamentals due to their potentially similar listing time. ...

Reference:

Attention Spillover in Asset Pricing

... The need to examine this issue arises from the potential consequences of information asymmetry problems before the disclosure of earnings releases, which could lead to an irrational market reaction to market movements. Heitz et al. (2020) have presented evidence confirming the presence of many variations in stock price variance before earnings announcements, which may indicate information leakage. Chae (2005) analyzed trade volume patterns before scheduled and unscheduled announcements in another investigation. ...

Reference:

Examining the Information Efficiency of Indonesia Equity Market: Evidence from Earnings Announcements

... Lu and Murray (2019) argue that down-market risk assessment is important in pricing expected rates of return. In turn, the works of Kapadia et al. (2019) and Barahona et al. (2021) indicate that downside risk in the form of downside beta is not an additional factor in predicting rates of return and does not generate significant positive premiums. Contradictory, ambiguous results are presented by Wang (2023), demonstrating that the pricing of downside risk both ex ante and ex post is not important. ...

Reference:

Conventional and downside CAPM with higher-order moments: Evidence from emerging markets

... We show that the return predictability for this premium is derived from its ability to capture large assetvalue shocks. Indeed, by linking the predictability with jumps, we further complement the long-standing literature showing that various jump dynamics, including the systematic and idiosyncratic part of those dynamics, are priced in the stock market (see, e.g, Cremers et al., 2015;Kapadia & Zekhnini, 2019;Lu & Murray, 2019;Yan, 2011). 6 We also contribute by looking into the drivers of IV spreads' return predictability. ...

Reference:

Early exercise, implied volatility spread and future stock return: Jumps bind them all

... We exploit the staggered adoption of the interstate banking and intrastate branching deregulation laws in the 46 contiguous states. We exclude Delaware and South Dakota because of the preponderance of credit card banks in these states (Black and Strahan (2002); Berger et al. (2012)). ...

Reference:

Credit and the Labor Share: Evidence from U.S. States