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Homes for Heroes Pensacola, FL Real Estate Military Discounts
| November 29, 2014
BOND is the Northeast’s premier full-service construction management and general contracting company offering coordinated building and self-performing civil & utility services.
Article | February 11, 2020
The pursuit of exceptional people in today’s competitive commercial real estate market is a challenging proposition. DFW has a wealth of talent who could work at any number of prestigious real estate firms. So, what sets one global commercial firm apart from the next? How do we attract and keep the best in the industry to better serve our clients?
Financial modeling is a technical application as old as finance itself. Traditionally performed through excel sheets and various DCF models, I wanted to set out and use Machine Learning to build a predictive model for the movement of an asset’s price. Within a two week project time period, I set out to analyze and build predictive SARIMAX (Seasonal Auto-Regressive Integrated Moving Average with Exogeneity) models to capture the movement of eight different Real Estate Investment Trusts (REITs). Before we get into the data, it is essential to first understand the nature of a REIT. REITs are just like any other financial asset in that ownership represents a “share” of a companies profit. These companies own and operate income-producing real estate and are usually centric to a particular sector of real estate type (data centers, retail properties, Senior/Assisted living communities, healthcare, etc…). There are two main types of REITS:
DFW has record low unemployment rates of 2.9 percent as of December 2019. The workforce gap between retiring baby boomers and up-and-coming workers is causing a labor shortage and skill gap. Large tech companies are offering aggressive compensation packages to beat out the competition. And never mind your corporate culture, workplace strategy, and proximity to hip coffee shops. These are real challenges for business leaders that require data to make the right decision for their organization. Solutions are out there, but you need a fresh perspective using data. There are hundreds of factors to consider, such as education levels, local workforce skills, or market sustainability, but let’s focus on age for now — specifically, the demographic age group of 20 to 34.
Many experts agree that the last 10-12 years has been the most consequential time in American real estate. We’ve gone from an abundance of foreclosures, cautious buyers, and hesitant lenders to soaring prices, low inventory, and fierce competition. As we start off a brand-new decade, let’s look back at some major changes in real estate over the past several years. Everything in real estate happens in cycles,” said REALTOR® Jeff Thornton of the Thornton Realty Team with Coldwell Banker Hubbell BriarWood. “When we hit an economic downturn, the government tightens everything up and mortgage companies become stricter with requirements. When the economy picks back up, things relax, and we see a bit more flexibility.
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