Chapter 5: Natural Resources

In this section

• Timberland, Farmland, and Raw Land
  Timberland, Farmland, and Raw Land (CFA Level 1): Understanding the Three Asset Classes, Timberland, and Farmland. Key definitions, formulas, and exam tips.
• Commodities and Commodity Derivatives
  Commodities and Commodity Derivatives (CFA Level 1): Commodities as Consumption Goods and Investments, Physical Ownership vs. Derivative Exposure, and Key Price Drivers in Commodity Markets. Key definitions, formulas, and exam tips.
• Risk Factors and Portfolio Diversification
  Risk Factors and Portfolio Diversification (CFA Level 1): Test Your Knowledge: Risk and Diversification in Natural and portfolio manager believes farmland provides inflation protection. Key definitions, formulas, and exam tips.
• Environmental and Social Considerations
  Environmental and Social Considerations (CFA Level 1): Why Environment and Society Matter, Environmental Impact and Regulatory Risks, and Social License to Operate. Key definitions, formulas, and exam tips.
• Commodity Curve Dynamics and Storage
  Commodity Curve Dynamics and Storage (CFA Level 1): Fundamental Building Blocks: Spot, Futures, and Cost of, Cost of Carry at a Glance, and Seasonal Patterns and the Forward Curve. Key definitions, formulas, and exam tips.
• Commodity-Based Investment Vehicles
  Commodity-Based Investment Vehicles (CFA Level 1): Key Commodity-Based Investment Vehicles, Physical-Backed Commodity ETFs, and Futures-Based Commodity Funds. Key definitions, formulas, and exam tips.
• Ancillary Revenues in Farmland and Timberland
  Ancillary Revenues in Farmland and Timberland (CFA Level 1): Diversified Revenue Streams and the Core Investment, Hunting and Recreational Leases, and Carbon Credits and Offsetting Emissions. Key definitions, formulas, and exam tips.
• Global Regulatory Landscape and Sustainability
  Global Regulatory Landscape and Sustainability (CFA Level 1): Global Treaties and Frameworks, Paris Agreement, and CITES (Convention on International Trade in Endangered Species). Key definitions, formulas, and exam tips.
• Water Rights and Sustainability Initiatives
  Water Rights and Sustainability Initiatives (CFA Level 1): Global Importance of Water, Understanding Water Rights, and Water as an Investment Opportunity. Key definitions, formulas, and exam tips.
• Weather Derivatives and Insurance Instruments
  Weather Derivatives and Insurance Instruments (CFA Level 1): Weather Derivatives in a Nutshell, Defining Weather Derivatives, and Major Users and Their Motivations. Key definitions, formulas, and exam tips.
• Specialized Crops and Agribusiness Value Chains
  Specialized Crops and Agribusiness Value Chains (CFA Level 1): Emerging Opportunities in Specialty Crops, Understanding Agribusiness Value Chains, and Contract Farming Models. Key definitions, formulas, and exam tips.
• Alternative Fuels and Renewable Energy Sources
  Alternative Fuels and Renewable Energy Sources (CFA Level 1): Evolving Market Demand for Cleaner Energy, Production Processes and Key Technologies, and Biofuels: Ethanol, Biodiesel, and Beyond. Key definitions, formulas, and exam tips.
• Volatility and Hedging in Resource Extraction
  Volatility and Hedging in Resource Extraction (CFA Level 1): Volatility Drivers in Extractive Industries, Key Hedging Instruments and Strategies, and Forward Sales. Key definitions, formulas, and exam tips.
• Cross-Border Logistics and Transportation Risks
  Cross-Border Logistics and Transportation Risks (CFA Level 1): Understanding Cross-Border Supply Chain Dynamics, Potential Disruptions Along the Way, and Cost Structure of Maritime Shipping. Key definitions, formulas, and exam tips.
• Philanthropic Land Ownership Models
  Philanthropic Land Ownership Models (CFA Level 1): Rationale for Philanthropic Land Ownership, Common Vehicles and Structures, and Funding Sources for Land Acquisition. Key definitions, formulas, and exam tips.
• Data-Driven Approaches to Yield Enhancement
  Data-Driven Approaches to Yield Enhancement (CFA Level 1): Big Data and Precision Tools in Agriculture and, Key Components of Big Data Analytics, and Remote Sensing and Real-Time Monitoring. Key definitions, formulas, and exam tips.