The biggest financial investment anyone will make in their lives is purchasing a home. Buying a house is a frightening, but exciting, economic proposition. It's also enormously complex, involving several variables first-time buyers don't stop to consider until it's too late.
To get the most out of your home-buying experience, Premium Mortgage Corporation, mortgage loan specialists with offices in Rochester, Buffalo, and Syracuse, NY, and Barre, VT, recommend considering the following when choosing your next home:
- The Re-Sale Value: In all likelihood, you'll almost certainly want to sell your home one day. To maximize the return on your investment, try to balance your needs with features the market finds attractive. For example, you may want to buy a home in a good school district, even if you don't have children, to appeal to a wider audience when you put the house back on the market.
- Staying Objective: It's easy to get excited and swept off your feet by a house, even if it doesn't meet all of your needs. Make a list of features you absolutely need, as well as those you want but don’t necessarily need. Taking this list with you on every house-hunting trip will encourage you to think carefully about your priorities before making compromises you might regret later.
- Calculating All Of The Costs: Try to develop a clearer picture of the expense of the home, beyond the mortgage loan payment. Annual property taxes, utility expenses, and routine maintenance of vital systems adds up, so make sure you take those costs into consideration before making an offer.
For over 15 years, the mortgage loan officers at Premium Mortgage Corporation have been helping first-time home buyers receive the financing they need for the homes of their dreams. To find your nearest location, learn more, and fill out an application, visit their website or call (877) 690-7240. You can also find them on Facebook and Twitter.
Corporate Contact Information:
2541 Monroe Avenue, Rochester, NY 14618
Equal Housing Lender
Licensed Mortgage Banker NYSDFS