Drivers of agricultural commodity prices since 2000

Table of Contents

1 INTRODUCTION

2 LITERATURE REVIEW

2.1 Fundamental and political factors influencing food prices

2.1.1 Demand from developing countries

2.1.2 Increasing oil price

2.1.3 Expanded biofuel production

2.1.4 Low stocks in agricultural commodities

2.1.5 Adverse meteorological conditions

2.1.6 Food policies

2.1.7 Other fundamental factors

2.2 Financialization in the agricultural commodity market

2.2.1 Increasing financial speculation has no impact on agricultural commodity markets

2.2.2 Increasing financial speculation is beneficial

2.2.3 Financial speculation is harmful to agricultural commodity markets

2.3 Evidences for the impact of investor’s sentiment on asset prices

3 ANALYSIS OF POTENTIAL SENTIMENT PROXIES

3.1 AAII Investor Sentiment Survey

3.1.1 AAII data and limitations

3.2 Implied volatility of S&P500 index options

3.3 First-day returns on initial public offerings

3.3.1 First-day IPO returns data and limitations

3.4 Closed-end fund discount

3.4.1 Closed-end fund discount data and limitation

3.5 Open interest in the wheat futures market

3.5.1 Open interest data and limitations

3.6 Trading volume in the wheat futures market

3.6.1 Trading volume data and limitation

3.7 Wheat futures returns

3.7.1 Limitations of wheat futures returns

4 EMPIRICAL EVIDENCE

4.1 Descriptive Statistics of relevant variables

4.2 Construction of the composite sentiment index

4.2.1 Preliminary sentiment index

4.2.2 Controlling for macroeconomic influences

4.2.3 Controlling for the capital market

4.2.4 Comparison to other sentiment indices

4.2.5 Does the sentiment index capture mood swings in the wheat market?

4.3 Interdependence between investor sentiment and returns on wheat futures

4.3.1 Interdependence between SENT┴# and returns on wheat futures

4.4 Dependence between investor sentiment and returns on wheat futures

4.4.1 Simple linear time series regression analysis

4.4.2 Multiple linear time series regression analysis

5 CONCLUSION

Research Objectives and Themes

The research investigates the influence of investor sentiment on wheat futures returns from 2000 to 2013, seeking to determine if mood swings beyond fundamental factors explain market price fluctuations.

• Construction of a bespoke investor sentiment index for agricultural commodity markets.
• Evaluation of the impact of financialization on wheat futures returns.
• Analysis of the relationship between behavioral finance proxies and market price discovery.
• Application of principal component analysis (PCA) to derive a composite sentiment measure.
• Empirical testing of predictive power through linear and multiple regression models.

Excerpt from the Book

Summary of Chapters

1 INTRODUCTION: This chapter provides context regarding the global food price crisis and the debated roles of fundamental drivers and financial speculation.

2 LITERATURE REVIEW: An overview of existing academic research on fundamental factors and the financialization of agricultural commodity markets is provided.

3 ANALYSIS OF POTENTIAL SENTIMENT PROXIES: This section details the selection and limitations of various indicators used to quantify investor sentiment in the US market.

4 EMPIRICAL EVIDENCE: This chapter covers the construction of a composite sentiment index, its validation, and its predictive power regarding wheat futures returns through regression analysis.

5 CONCLUSION: The study summarizes the findings, confirming that investor sentiment serves as a significant predictive factor for wheat futures returns.

Keywords

Agricultural Commodities, Wheat Futures, Investor Sentiment, Financialization, Speculation, Efficient Market Hypothesis, Principal Component Analysis, Commodity Index Traders, Market Volatility, Behavioral Finance, Predictive Modeling, Regression Analysis, Food Price Crisis, Risk Premium, Market Liquidity.

Frequently Asked Questions

What is the core focus of this research?

The research examines whether investor sentiment, beyond fundamental economic factors, influences the returns of wheat futures contracts.

What are the primary thematic areas covered?

The study spans fundamental drivers of food prices, the role of financial speculation, and the application of behavioral finance theories to the agricultural commodity sector.

What is the main research question?

The primary question is whether an aggregated investor sentiment index can effectively predict returns in the wheat futures market.

Which scientific methods are employed?

The author utilizes Principal Component Analysis (PCA) to construct a sentiment index, followed by univariate and multiple linear regression models to test predictive validity.

What does the main body of the paper discuss?

The main body evaluates various sentiment proxies, details the methodology for creating a composite index, and presents empirical results from regression models controlling for macroeconomic variables.

How can this work be described using keywords?

Key topics include wheat futures, investor sentiment, financialization, behavioral finance, and commodity price discovery mechanisms.

How is the investor sentiment index constructed?

The index is built by performing a PCA on six distinct sentiment proxies—including VIX, IPO returns, and closed-end fund discounts—after controlling for macroeconomic factors.

What is the conclusion regarding the relationship between sentiment and wheat prices?

The study concludes that investor sentiment is a statistically significant factor that influences future wheat returns, effectively closing a literature gap in the agricultural commodity market.