I think this paper is going to be a foundation, a blueprint for further analysis. As the option markets grow in tandem with all financial markets we will see so many new unique features on how to analyze data.
We all know quantitative analysis is the way to properly assess option contracts.
Nobody looks at a chart of an ATM call price through time and draws support and resistance lines. But technical analysis can indeed be useful.
For example, measure the 30D implied vol when spot is above the 200sma and now measure the 30D implied vol when spot is below the 200 day moving avg. We all know when spot is below the 200, it's most likely in a downtrend, and spot tends to have larger magnitude movements (daily ranges). When spot is above the 200ma spot is trending up, stepping stairs consistently, smaller ranges, therefore lower implied vol. This is very interesting.
Now take it a step further and look at fundamental analysis. We all know each company (underlying) has a nature to it, acting a specific way inherent within the corporation. McDonald's price action is a lot different than Tesla. Well obviously the companies success/failure will be determinant of its place in these markets. Firms that are failing, deep in debt, will most likely be contending, and have larger movements in price, thus seeing higher volatility.
In this study they said "of the firm fundamental metrics chosen, leverage and liquidity were positively significant, while profitability, investment, size, dividend-price ratio, and book to market ratio were negatively significant, suggesting that a firm with a higher leverage, smaller profitability, size, and so on, is associated with a larger implied volatility."
Knowing this, a speculator can dig deeper into this and see if it has any validity, and maybe it does, and maybe we will even see fundamental option metrics on broker platforms soon enough, but this can have some buzz.