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Demand

MGMT220_ASSIGNMENT_3: Noelle Parra - 4327 1790

Noelle Parra
Real Estate Marketplace
The model shown provides a visual representation of the processes that occur when Buyers (Demand), the Sale of Homes (Supply) as well as Price interact when it comes to the Real Estate Marketplace. 
Price is the main factor that ultimately influences the movement of both supply and demand within the real estate marketplace. Those considering purchasing a new home will be influenced to buy when prices are lower than that of the median price whereas sellers prefer to sell their homes higher than the median price in order to make a higher return. 

Housing Supply Demand

  • 3 years 8 months ago

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

Charles Møller
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)

Environment Economics Finance Mathematics Physics Biology Health Fractals Chaos TURBULENCE Engineering Navier Stokes Supply Demand Strategy

  • 5 years 6 months ago

Clone of Real Estate Simulation Assignment - Mitchell Bassil 43290264

Zaiceva Ekaterina
​BACKGROUND:
The following simulation model demonstrates the relationship between supply, demand and pricing within the real estate and housing world. I have based the model on a small city with a population of 100,000 residents as of 2015. 
AXIS:
X-AxisThe X-Axis shows the time. It begins in 2015 in the month of October and continues for 36 consecutive years. 
Y-AxisThere are 2 Y-Axis on this model. The left hand side relates to the price, demand, and supply, while the right hand side solely lists the population.
As you could see, this town has a population of 100,000 residents to-date. The bottom of the model shows a population loop that produces an exponential growth rate of 2.5%. This dynamic and growing city populates approximately 240,000 residents after 36 years.
MODEL
The model consists of 2 folders named: Buyers/Consumers & Suppliers/Producers. This first folder represents the 'Demand'. It includes a buyers growth rate, buyers interest increase and decrease, a price demand and the demand price. The formulas form an exponential rise in demand due to the rapid and continuous increase in population in this new city. As population increases, so does the demand from buyers. 
The second folder conveys the supply of houses. It includes a sophisticated loop of real estate. Residents who own houses in the market decide to sell the home. This becomes the Houses for sale, also known as the 'supply'. Those houses are sold and the sold houses re-enter the market and the loop continues. 
The supply has an inverse relationship with the price. When prices drop, supplies drop because the demand goes up. And when the price goes up, so does the supply. This will represent the growth of new houses in the market. 
PRICE
Note: The price is based on monthly rent rates.
The price is dependant on many variables. Most importantly, the supply and demand. It also includes factors such as expectations & the economic value of the house. I have included a stable, 'good' economic value for all homes as this fictional town is in a stable and growing area.
Price fluctuates throughout the entire simulation, however it also goes up in price. Over the years houses continue to rise in price while they regularly fluctuate. For example, in 2018 (3 years later), the max price for a home was: $4254.7 and min price was: $852.98. On the other hand, in October 2051 (36 years later), the max price was: $14906 and the min price was: $7661. (This is based on the following data: Houses for Sale: 500, Houses that have sold: 100, Houses in the Market: 730).
SLIDERS
There are 3 sliders on the bottom that could be altered. The simulation would react accordingly. The 3 sliders include changeable data on:- Houses for Sale.- Houses that have Sold.- Houses in the Market.

Housing Demand Supply

  • 1 year 7 months ago

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

Lingguo Bu
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)

Environment Economics Finance Mathematics Physics Biology Health Fractals Chaos TURBULENCE Engineering Navier Stokes Supply Demand Strategy

  • 5 years 4 months ago

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

Dr THOMAS ILIN
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)

Environment Economics Finance Mathematics Physics Biology Health Fractals Chaos TURBULENCE Engineering Navier Stokes Supply Demand Strategy

  • 4 years 8 months ago

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

Agustin Marcos
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)

Environment Economics Finance Mathematics Physics Biology Health Fractals Chaos TURBULENCE Engineering Navier Stokes Supply Demand Strategy

  • 3 years 11 months ago

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

Sugiharto
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)

Environment Economics Finance Mathematics Physics Biology Health Fractals Chaos TURBULENCE Engineering Navier Stokes Supply Demand Strategy

  • 5 years 1 week ago

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

Schmooster
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)

Environment Economics Finance Mathematics Physics Biology Health Fractals Chaos TURBULENCE Engineering Navier Stokes Supply Demand Strategy

  • 4 years 5 days ago

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

Priscilla Lin
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.

Housing Supply Demand Economics

  • 2 months 2 weeks ago

Modelo de precios vs Productos de base tecnológica

Lenin Teran

FONDO:

 

El siguiente modelo de simulación demuestra la relación entre la oferta, la demanda y los precios dentro del mundo valoración de nuevos productos generados en base al capital del conocimiento o productos de base tecnológica. He basado el modelo en una ciudad pequeña con una población de 100,000 residentes a partir de 2015.

 

EJE:

 

X-Axis

El X-Axis muestra el tiempo. Comienza en 2015 en el mes de octubre y continúa durante 36 años consecutivos.

 

Eje Y

Hay 2 ejes Y en este modelo. El lado izquierdo se relaciona con el precio, la demanda y el suministro, mientras que el lado derecho solo enumera la población.

 

Como se puede ver, esta ciudad tiene una población de 100,000 residentes hasta la fecha. La parte inferior del modelo muestra un bucle de población que produce una tasa de crecimiento exponencial del 2.5%. Esta ciudad dinámica y en crecimiento puebla aproximadamente a 240,000 residentes después de 36 años.

 

MODELO

 

El modelo consta de 2 carpetas llamadas: Compradores / Consumidores y Proveedores / Productores. Esta primera carpeta representa la 'Demanda'. Incluye una tasa de crecimiento de compradores, aumento y disminución de interés de los compradores, una demanda de precio y el precio de demanda. Las fórmulas forman un aumento exponencial de la demanda debido al rápido y continuo aumento de la población en este mercado. A medida que la población aumenta, también lo hace la demanda de los compradores.

 

La segunda carpeta transporta el suministro de nuevos productos de base tecnológica generados en centros de I+D . Incluye un bucle sofisticado de bienes inmuebles. La población que posee productos de base tecnológica en el mercado deciden vender o consumir el producto de base tecnológica . Esto se convierte en las productos de base tecnológica en venta. Estos nuevos productos de base tecnológica se venden y los nuevos productos vendidos vuelven a entrar al mercado y el ciclo continúa.

 

El suministro tiene una relación inversa con el precio. Cuando los precios bajan, los suministros bajan porque la demanda aumenta. Y cuando el precio sube, también lo hace el suministro. Esto representará el crecimiento de nuevas productos en el mercado.

 

PRECIO Nota: El precio se basa en las tarifas de alquiler mensual. El precio depende de muchas variables. Lo más importante es la oferta y la demanda. También incluye factores tales como las expectativas y el valor económico de la casa. He incluido un valor económico estable, 'bueno' para todos los hogares ya que esta ciudad ficticia se encuentra en un área estable y en crecimiento. El precio fluctúa durante toda la simulación, sin embargo, también sube de precio. Con el paso de los años, las casas siguen subiendo de precio mientras fluctúan regularmente. Por ejemplo, en 2018 (3 años después), el precio máximo para una casa fue: $ 4254.7 y el precio mínimo fue de $ 852.98. Por otro lado, en octubre de 2051 (36 años después), el precio máximo fue: $ 14906 y el precio mínimo fue de $ 7661. (Esto se basa en los siguientes datos: Casas en Venta: 500, productos nuevos de base tecnológica  que han vendido: 100, Casas en el Mercado: 730).
SLIDERS
There are 3 sliders on the bottom that could be altered. The simulation would react accordingly. The 3 sliders include changeable data on:- Houses for Sale.- Houses that have Sold.- Houses in the Market.
 Hay 3 controles deslizantes en la parte inferior que se pueden modificar. La simulación reaccionaría en consecuencia. Los 3 controles deslizantes incluyen datos modificables en:- Nuevos productos  en venta.- Productos de base tecnológica que han vendido.- productos de base tecnológica  en el mercado.

Housing Demand Supply

  • 11 months 3 weeks ago

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