Matt Badiali is a top-level financial analyst in the realm of natural resources. He has a long history of excellence in the field that has merited him a place with Banyan Hill Publishing. Matt Badiali is an expert geologist with a Bachelor’s of Science from Penn State and a Master’s in Geology from Florida Atlantic University. His chief area of study is Earth Sciences which he uses to rate natural resource companies that deal in natural gas, oil, and coal. He has traveled all over the world to inspect various businesses in Turkey, Switzerland, Hong Kong, Haiti, Iraq, Singapore and Papua New Guinea. He inspects wells, mines, rigs, and interrogates CEO’s and staff. This makes him a very reliable investment expert as he goes straight to the source.

Although Badiali is a featured writer and editor for Banyan, he is mostly known for his Freedom Checks ads. Freedom Checks are an investment opportunity that Badiali has been advocating. They center around some profitable tax breaks resource companies take advantage of. In order to qualify for these breaks the companies have to meet certain parameters. One of these parameters creates a rather profitable situation for investors to take advantage of, and Matt Badiali has been using his freedom checks ads to spread the word.

The advantage deals with a tax statue enacted back in 1987. It allows natural resource companies that transport said resources to act like tax-free entities, providing that 90% of their revenue be dispersed to stakeholder. What Matt Badiali calls freedom checks are actually monthly to quarterly payouts for such stakes. To become a stakeholder in one of these companies can require as little as $10 dollars. The stake in question is called an MLP, or Master Limited Partnership. It is a legitimate investment in an actual resource company but carries no weight. Investing in a MLP can reap large rewards depending on the company, but luckily Badiali knows what companies to invest in. This makes freedom checks almost a sure thing, but still carries a small risk factor.