Demand | Insight Maker

Simple Health Care Supply and Demand Interactions

6

The housing market is heavily dependent on two main factors; supply and demand. Both play a major role in determining an equilibrium price for both sellers and buyers in the real estate market.

Residents, or the general population of individuals, place significant reliance on financial institutions to provide sources of capital i.e mortgages, to fund their purchases of homes. The rate of interest charged by these organisations in turn gives buyers (consumers) purchasing power, creating demand.

Supply is made up of the number of houses in the market, and consequently, of these, the number of houses which are up for sale. As the prices of houses for sale increases, the demand for purchase of these properties decreases. Conversely, the lower price, the higher the demand. Once the market reaches an equilibrium point, to which buyers and sellers form an agreement, houses are sold accordingly. An underlying factor to consider is the cost of construction, which impacts producers, or suppliers in this instance, and thus the number of homes for sale, and the expected profit sellers hope to achieve.

The simulated graph highlights the common scenario within the housing market, to which we see that as price increases, the total number for houses for sale decreases, generating an opposite slope to the price. As the price for houses increases, the demand for the houses decreases and vice versa. The equilibrium is evident at time 14 whereby the price of houses and the number of houses for sale overlaps which in turn creates a market to which both buyers and sellers are happy.

The effect of Supply and Demand on the Housing Market Assignment 3 (43323871)

Ryan Nakhle

25

THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES TURBULENT CHAOTIC DESTRUCTION

The existing global capitalistic growth paradigm is totally flawed

Growth in supply and productivity is a summation of variables as is demand ... when the link between them is broken by catastrophic failure in a component the creation of unpredictable chaotic turbulence puts the controls ito a situation that will never return the system to its initial conditions as it is STIC system (Lorenz)

The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite working containers (villages communities)

THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES CHAOTIC TURBULENCE (+controls)

Guy Lakeman

20

basic warehouse stock control

anton petrov

14

Supply and Demand tend to oscillate back and forth through Price.

@LinkedIn, Twitter, YouTube

Supply and Demand/CLD

Gene Bellinger

Documentation

The Insight shown demonstrates how demand and supply in a real estate market can affect pricing.

Demand, Supply and Price have been represented by stocks. Each has an inflow where it has an increase in stock, and a corresponding outflow where stock is decreased.

Linking each stock and flow is a variable that changes that which it is linked to. These have been labelled appropriately. Each variable takes a decimal value and multiplies it with that it is linked to, such as the rate of demand affecting the price set as 0.001*Demand. This is to generate the loops required to show the rise and fall in price, demand and supply.

Adjustments can be made to the price, supply and demand stocks to simulate different scenarios. Price can be between 400 (400,000) and 1000 (1,000,000) in accordance to average housing prices. Demand and supply can be between 0 (0%) and 100 (100%), although having these set as realistic figures will demonstrate the simulation best.

Each simulation can be focused on how either demand and price interact over time or supply and price. These are shown in different tabs.

When the simulation is carried out, the way in which demand and supply rates affect pricing can be seen. Demand and supply are shown with price following shortly after with a slight delay, since changes in market behavior does not immediately affect prices of housing.

It should also be noted that the lines that represent each stock do not directly reflect the prices of housing in reality. Prices do not fluctuate so rapidly from 400 to near 0 like they do on the graph, however these are just representations of the interactions between each stock in a marketplace.

Zachary Chapman - 43309399 - Assignment 3 Final

Zachary Chapman

3

See reference in diagram notes. WIP for Environment part of primary care regional model. GP centric calibration by JPS at IM-14117 See also IM-3126 for Regional Health Service Use Context

The Ecology of Medical Care

Geoff McDonnell

Este modelo busca simular la demanda y oferta de materiales de construcción en la ciudad de Calí (Colombia), En cuanto a la demanda se presenta como principales iniciadores entre otros:

La salud económica (PIB regional, desempleo, cartera hipotecaria)

Estado de la construcción (Licenciamientos, iniciaciones, obras civiles, despachos de cemento)

En cuanto a la oferta se presenta como principales iniciadores entre otros:

Capacidad de proveedores: (Disponibilidad de fuentes, Calidad)

Aspectos legales (Titulos mineros, socioambiental)

Transporte (Flete, estado de la red vial, precio de combustible, distancia de acarreo)

Oferta y demanda de materiales de construcción en Cali

Scifue

This is a model that depicts the interactions between buyers and sellers in regards to the position of price to the median price.

This model works on the premise that when house prices drop below median price, buyers will increase and sellers will decrease, and vise versa.

When the values for Price, Buyers and Sellers are set to 50, the system will be in Equilibrium.

Delays have not been added in order to show how components instantly respond to changing parameters.

A more in-depth description is provided in the story.

Complex Systems Assignment #3 MGMT220 - Jeff Sun 42869129

Xu Jeff Sun

4

Real Estate Marketplace Modeling diagram

This model is to explain the relationships among different players in a real estate marketplace, including the simple economic concept, for example, demand, supply, price, etc. The model is basically two years monthly based. It starts with a relationship between demand, supply and price. These three main determines are interdependent and affect other others. Moreover, there are few variables in the model, the price elasticity of demand and supply are included in order to successfully predict the flow of price since all determines are dynamic numbers but not a fixed number. Simultaneously, buying and selling ratio are in the model to demonstrate the proportion of residents and owners to buy and sell. When people are highly interested to buy a new home, their motivation are based on the demand and supply in the market. If demand goes up, supply goes down, price will go up. If the price goes down, demand will soon goes up because the price is low so people can become home buyers.

· When the supply in the market is high, no home owners would like to sell their homes because the price is low and they are not able to maximize their profit. Once the supply goes up and demand goes up, homes will add stock into market so more homes will be for sale.
· If people become home buyers and new homeowners, the flow will go back to people because they become owners and their homes can be sale afterwards. Hence if a home is sold then it can come back to homes. Sales are done deal when a home for sale becomes a sold home and a home buyer becomes a new home owner.
· Finally, price is determined by the buying ratio and selling ratio. Buying and selling ratio are basically calculated from homes for sales, total homes, total population and home buyers. Though the peak and downturn of buying ratio and selling ratio are significant factors to decide the value of a home.
· Sliders are added to let readers to change the parameters to have different stimulation results.

Assignment 3 - Real Estate Market modelling diagram. Sean Yeung 43808360

Sean Yeung

Very simple ward occupancy model.

Simple ward DCAQ

David Joseph McLaren

4

Supply and Demand tend to oscillate back and forth though Price.

@LinkedIn, Twitter, YouTube

Supply and Demand/SFD

Gene Bellinger

8

Shown here is a diagram of a Real Estate Market where in which variables like price, supply and demand are found to be present and play a role in the sides of the buyers and the sellers.

When prices go up the supply of sellers increase while the demand of buyers decrease. When prices go down the supply of buyers increase in the real estate market while the demand of sellers decreases.

It is the simple economic rule found in plain sight in the real estate market.

1 - Price elasticity of Supply with the sellers is high due to their ability to adapt to sudden changes in prices in the market.

2 - Demand elasticity of price on the other hand was not proven to be as high in the calculations since there was no factual data as to how fast the buyers reacted to an increase in supply or a decrease in price. Although seen is the increase in demand when a the price is lowered.

3 - Increases in Median Price lead to a increased Supply from the Sellers.

4 - Decrease in Median Price lead to a increased demand from the Buyers.

Ali Akturk /// 43289061 // Real Estate Workings

Ali Akturk

Clone of Clone 4of IM 27348, of JPS IM-27150 of original JPS IM-14117 See reference in diagram notes. WIP for Environment part of primary care regional model

Clone 5 The Ecology of Medical Care

Joachim P Sturmberg

3

Supply and Demand tend to oscillate back and forth though wastage is a constant.

balancing of the blood supply chain using the base stock policy

Alfred Oki

3

Supply and Demand tend to oscillate back and forth though Price.

Clone of Supply and Demand/SFD

Brandon Luke Sultana

See reference in diagram notes. WIP for Environment part of primary care regional model

Clone of The Ecology of Medical Care

Joachim P Sturmberg

7

What happens when supply side incentives pull the demand curve further than it can go

Demand Crash Simulation of Supply and Demand/SFD

ChrisW

Author: Brandon Sultana 43268080

This is a 3 year model that depicts the flows between Price, Supply and Demand in the real-estate market.

Throughout the model viewers can observe how the figures Price, Supply and Demand alter each other in an increasing or decreasing way.

Price is decreased by the growing supply of HousesForSale and increased by the growing demand of people wanting to buy. As Price decreases, HousesForSale increases and Price decreases as HousesForSale increase.

From the use of the graph it is evident that over 3 years the flow of house prices fluctuate and therefore more houses are sold at different times over 3 years.

The purpose of this insight is to help consumers and Businesses depict the best times to either buy or sell houses to maximize profits.

Additionally the market had to respect the number of possible consumers who are opting to build new houses, based on the rise and fall of house prices the real-estate analyses the new houses and residents in the area grow overtime.

Due to population growth, This cycle remains continuous so long as the real-estate company manages their resources effectively

Real-Estate Cycle Brandon Sultana 43268080

Brandon Luke Sultana

Clone of Simple ward DCAQ

Bechara Assouad

The real estate market is heavily influenced by social and economical factors that effect the price of dwellings. Two of the main factors that contribute to not only the housing market but most consumables are supply and demand.

Supply is the amount of one good or service in that market. A market driven economy could utilize supply to regulate price. Generally, if the supply is higher than the demand for that good the price will be lower. If the supply is lower than the demand, the price will tend to increase.

Demand is the amount of consumers that want/need that good or service. Price is also influenced by demand. Generally, if the demand is higher than the supply the price will increase. If the demand is lower than the supply, the price tends to decrease.

Price can be derived from demand and supply.

The following model depicts how the changes in supply and demand of Households effect pricing. The sliders replicate how each of the variables interact with price.

Secondary factors, such as interest rate, foreign investors and government policies also all weigh in on determining a price for a dwelling.

William Pale 42877083 (Assignment 3)

William Pale

Supply and Demand tend to oscillate back and forth though Price.

Clone of Supply and Demand/SFD

ajay menezes

Assignment#3: Complex Systems

Real Estate Market Modeling diagram

This diagram implies the simple supply and demand concept to show the relationship of different roles in the real estate market and how they affect the price of houses, buyers and sellers.

The motivations are based on the concept, when the houses’ price goes down (demand goes down) there will be more people interested in buy a new house (supply goes up).

The simulation will show the range within 36 months as units. It demonstrates the comparison of price, houses buyers and Houses for sale.

Sai Tung Samson Ghiu 43106854 Assignment 3