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Top Blog Posts from 2017: Forest Finance, Lumber Consolidation, and Timber Prices

Visitor traffic on the Forisk Blog increased 38% in 2017 over 2016. Thank you! Here are the top five posts from 2017:

  1. Forest Finance: What Does a Negative or Zero NPV Say About My Potential Timberland Investment?
    1. Again number one, this brief post topped our rankings since it hit the web in January 2013. The core finance question drives traffic to this post, while the timberland angle comes along for the ride. Most related notes I receive come from MBA and finance students, forestry and finance analysts, and folks engaged in capital budgeting.
  2. Who’s Who in Lumber: Top 10 U.S. Lumber Producers
    1. Posted in March by Amanda Lang and Justin Tyson, this snapshot of U.S. softwood lumber capacity comes from Forisk’s database of North American forest industry capacity. The ongoing tracking of over 4,000 wood-using facilities helps isolate the effects of technology shifts and capital investment trends.
  3. Forisk Forecast: Six Reasons Why Timber Prices in the South Do Not Track U.S. Housing Starts Today
    1. One of our longer posts, this addresses the apparent disconnect between housing and timber prices. Our analysis indicates the story has clear antecedents, which lay the groundwork for assessing future U.S. timber prices, especially in the South.
  4. Timberland Investment Returns and the Performance of Timber REITs Over Time
    1. Another post from Q1, this one summarizes the relative performance of timberland investment vehicles, along with a “flashback” to Forisk research published ten years ago that recaps the reasons why firms find the REIT structure attractive for real estate generally and timberlands specifically.
  5. Tracking the Top Timberland Owners and Managers in the U.S. and Canada, 2017 Update
    1. A post from May 2017 summarizing our North American Timberland Owner & Manager tracking. Forisk has been accumulating timberland transaction and ownership data for the past twelve years. The ownership data goes back 50 years and the transaction data goes back 20 years to 1996.

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