Geometric Growth | ScienceGate

Risk-return and difference of Ipe wood price in Pará and São Paulo markets

CERNE ◽

10.1590/s0104-77602014000100009 ◽

2014 ◽

Vol 20 (1) ◽

pp. 69-72

Author(s):

Humberto Figueira Barbosa ◽

Lyvia Julienne Sousa Rego ◽

Márcio Elly Piero ◽

Rommel Noce ◽

Juliana Mendes de Oliveira ◽

...

Keyword(s):

Coefficient Of Variation ◽

Sao Paulo ◽

The State ◽

Price Increase ◽

Price Difference ◽

Risk And Return ◽

Risk Return ◽

Price Series ◽

The City ◽

Geometric Growth

This study estimated the relation risk-return and the trend of the price difference among the markets of consumers of Ipê amarelo (Tabebuia serratifolia) sawn wood in the State of Pará and the cities of Baurú, Campinas, and Sorocaba,. It was considered as indicative of risk the Coefficient of Variation (CV), and as indicative of return the Rate of Geometric Growth (RGG) of the price series that was also used to estimate the trend of the price difference among the markets. It was noted that the risk-return relationship is coherent in all markets, and the city of Sorocaba stands out with the greatest estimative in both risk and return, and presents increase trend of the price difference among State of Pará market, which presented a temporal deficit in the price increase compared to other markets analyzed.

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Models with Geometric Growth

Introduction to Elementary Computational Modeling ◽

10.1201/9781466506343-22 ◽

2011 ◽

pp. 251-264

Keyword(s):

Geometric Growth

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Simple population models

Population Dynamics for Conservation ◽

10.1093/oso/9780198758365.003.0002 ◽

2019 ◽

pp. 21-53

Author(s):

Louis W. Botsford ◽

J. Wilson White ◽

Alan Hastings

Keyword(s):

Continuous Time ◽

Population Model ◽

Linear Models ◽

Nonlinear Models ◽

Single Variable ◽

Fibonacci Series ◽

Basic Concepts ◽

Dependent Growth ◽

Geometric Growth ◽

Simple Models

This chapter introduces basic concepts in population modeling that will be applied throughout the book. It begins with the oldest example of a population model, the rabbit problem, which was described by Leonardo of Pisa (“Fibonacci”) and whose solution is the Fibonacci series. The chapter then explores what is known about simple models of populations (i.e. those with a single variable such as abundance or biomass). The two major classes are: (1) linear models of exponential (or geometric) growth and (2) models of logistic, density-dependent growth. It covers both discrete time and continuous time versions of each of these. These simple models are then used to illustrate several different population dynamic concepts: dynamic stability, linearizing nonlinear models, calculation of probabilities of extinction, and management of sustainable fisheries. Each of these concepts is discussed further in later chapters, with more complete models.

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