Blockchain in Real Estate Market – a Chance for Revolution the Industry

Maciej Zieliński

04 Apr 2023
Blockchain in Real Estate Market – a Chance for Revolution the Industry

Introduction

In recent years, the total value of real estate was estimated to over 200 trillion dollars. In comparison, the value of every ounce of gold ever mined by the humanity across the generations is around 30 times lower. However, despite experiencing such a rapid growth, real estate market fails to introduce meaningful innovations to accommodate and capitalize on its success. Introducing blockchain in real estate market strives to break the mould and end the age of stagnation.

Benefits of Incorporating Blockchain in Real Estate Market

It appears that Blockchain is an answer to many persistent issues with the industry, without the risk of increasing the costs. Its incorporation brings a number of benefits, from which we can single out the most important:

Benefits of Incorporating Blockchain in Real Estate Market
Identical records for many stakeholders
Easily accessible information
Decentralisation and digitalisation of mortgage register
Opening the market for the less affluent
A chance to increase the liquidity of the assets
Clarity of purchase and renting processes
Reducing the risk of fraud or manipulation
The appearance of smart contracts

The Urgency of Introducing Blockchain in Real Estate Market

The appearance of platforms such as Zillow, which allows its users to store and access the real estate lists was a ground-breaking event for the market. Nevertheless, as the time passed by, people noticed the faulty nature of such solutions.

Subscribing to such a service generates additional costs, and so a lengthy period of sale might prove to be a strain for the budget. What is more, there is no standardisation of processes and communication within the services – this can prove detrimental towards the accuracy or even the relevancy of data stored within them.

Innovative Platforms for Real Estate Industry

Decentralized databases, powered by blockchain technology, could potentially address numerous challenges faced by the real estate industry. By distributing data across a peer-to-peer network, brokers can gain more control over the content they offer while minimizing third-party involvement. This would facilitate access to highly reliable information for users without straining their budget.

A prime example of this solution can be seen in Imbrex's real estate market, which operates on the Ethereum platform. Through encryption and data storage within the blockchain, servers have no authority over the real estate agents' sale announcements. Moreover, Imbrex's listings are updated in real time, making them far more efficient at delivering the latest information compared to traditional platforms.

Secure Storage of Land Registry on the Blockchain

Despite increased digitalization worldwide, it is concerning that most mortgage registries are still held in paper form. These important documents are susceptible to theft, manipulation, and physical destruction due to their fragile nature. The Haitian earthquake tragedy serves as a poignant example where disappearing registries led to massive conflicts over property ownership.

The vulnerability of paper forms is not the only issue; centralization of data storage also poses problems if no backup copies are available during unforeseen disasters. Consequently, storing mortgage registries within digital blocks of chain can significantly benefit the real estate industry. Decentralizing the database would lower potential risks associated with destruction or theft, and ensure that server downtime doesn't interfere with operations. Additionally, blockchain technology ensures that information cannot be edited, eliminating possibilities of manipulation and forgery.

Consistency in Real Estate Transactions through Blockchain

A major challenge within the current system is its oversaturation with stakeholders who often lack trust in one another. This leads to significant risks linked to inaccurate and fragmented data concerning real estate assets.

Inconsistency in documentation for parties involved contributes to scams, insecurity, and ambiguity within land management processes. Clients may need to undergo the same procedure multiple times, causing frustration and discouragement. The demand for change has been highlighted through RICS research, focusing on how primary market participants acquire and utilize information.

That is why, the standardisation of documents can be a key to success for the real estate market. The creation of decentralized database has been a longstanding goal of many companies, one of which is Propy. Its platform is based on the technology of database of blocks, which saves the data on a network of millions of nodes. Thanks to this, stakeholders have an access to identical copies of data, the consistency of which is verified in the real time by a software installed to each and every device. In such a model, trust is not a factor effecting the smooth exchange of information as the system forces its users to remain credible.

This and many other similar innovations together with IREDEC (International Real Estate Data Exchange Council) which is focused on standardising the basic set of data needed to enact the processes of real estate, gives us a bright perspective for the future.

Blockchain in Real Estate Market - Co-owning and Democratization Era

Currently one of the biggest obstacles which beginner investors face in the real estate market, is the high entry level. Crowd owning may turn out to be their dream solution. If I cannot afford the funding myself, why wouldn’t I just cooperate with others to achieve it? BitOfProperty is one of the companies which will allow the purchase and division of assets in separate units. The following process Is based on the tokenization – creation of virtual substitutes of real funds, which is perhaps the most revolutionary innovations of blockchain. A potential investor can purchase the individual tokens which are an equivalent of his desiredpart of a real estate. This opens up the market for the investors with smaller financial capacity and provides them with opportunities they didn’t have before.

  • Tokenisation in Practise

Pre-war villas in one of Warsaw’s most prominent districts – Żoliborz are reaching the transaction prices of around 2.5 million zlotys (approx. 650k dollars) which vastly exceeds the monetary capabilities of an average buyer. However, lets imagine that our seller tokenises the house. Then, lets consider that five separate buyers purchase one token whichcosts 500k zlotys (approx. 130k dollars). Such a price is much more affordable for a much larger group of investors. In this particular case, the five of our buyers are going to sign a smart contract with multiple signatures, which is going to make sure that every single decision concerning the house is carried out democratically and without the need of third-party supervision.

  • The Increase in Markets Liquidity

Thanks to the process of tokenisation, the real estate market will cease to be perceived as a “playground” for the richest. It will allow its democratisation. However, its far from being its only benefits.

The tokens could potentially become something of a cryptocurrency, which can be freely traded with the usage of designated platforms. This would reduce the widespread problem of finding a potential buyer. Instead of selling an entire property, its owner could sell a separate token, which could be an equivalent of its separate part.

The Clarity of Leasing

The process of renting is also made easier with Blockchain. It is possible to create a platformwhich gathers the information about the properties and their potential tenants in its decentralised network. It makes the process for both parties – the tenant gets all the information in one place and the landlord gains certainty about their reliability. Such a model would gain a significant advantage in a situation when one property would have many potential clients. The landlord would have an ability to compare the applications of every one of them and choose the most trustworthy and the one who would be willing to pay the most. Rantberry is one of the examples of such an application that allows the long-term rent of property in over 50 countries including Poland.

The Innovative Possibilities of the Smart Contracts

The aforementioned smart contracts allow its users to bring some visible changes to the real estate market. The incorporation of them which is based on the blockchain system will help at automatizing and simplifying even the most tedious and complex procedures.

An example of their usage could the automatized methods of lease agreement, which besidethe ability to secure the interests of both sides could potentially allow for supervision of established terms like monthly payment of rent. The process will be simplified and will be made cheaper because it wont have to involve the third party.

Conclusion

Smaller and bigger investors, the landlords, real estate agencies and even the state institutions could improve their actions thanks to the introduction of the Blockchain technology. Land and building registration held in a scattered database, identical records for many stakeholders, tokenisation of the value of the property is not just a musing on the futurebut a reality which is implemented even today.

You have to think of the blockchain as a new utility. It is a new utility network for moving value, moving assets.

William Mougayar, autor The Business Blockchain : Promise, Practice, and Application of the Next Internet Technology

Thirty years ago, the data was stored on mere floppy discs , which had to be brought to the meetings for sides to exchange the information. Indeed, the internet has allowed to revolutionise the real estate market but it is Blockchain which could potentially provide it with the burst of energy it desperately needs in the ever increasing demand for innovation.

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Nextrope on Economic Forum 2024: Insights from the Event

Kajetan Olas

14 Sep 2024
Nextrope on Economic Forum 2024: Insights from the Event

The 33rd Economic Forum 2024, held in Karpacz, Poland, gathered leaders from across the globe to discuss the pressing economic and technological challenges. This year, the forum had a special focus on Artificial Intelligence (AI and Cybersecurity, bringing together leading experts and policymakers.

Nextrope was proud to participate in the Forum where we showcased our expertise and networked with leading minds in the AI and blockchain fields.

Economic Forum 2024: A Hub for Innovation and Collaboration

The Economic Forum in Karpacz is an annual event often referred to as the "Polish Davos," attracting over 6,000 participants, including heads of state, business leaders, academics, and experts. This year’s edition was held from September 3rd to 5th, 2024.

Key Highlights of the AI Forum and Cybersecurity Forum

The AI Forum and the VI Cybersecurity Forum were integral parts of the event, organized in collaboration with the Ministry of Digital Affairs and leading Polish universities, including:

  • Cracow University of Technology
  • University of Warsaw
  • Wrocław University of Technology
  • AGH University of Science and Technology
  • Poznań University of Technology

Objectives of the AI Forum

  • Promoting Education and Innovation: The forum aimed to foster education and spread knowledge about AI and solutions to enhance digital transformation in Poland and CEE..
  • Strengthening Digital Administration: The event supported the Ministry of Digital Affairs' mission to build and strengthen the digital administration of the Polish State, encouraging interdisciplinary dialogue on decentralized architecture.
  • High-Level Meetings: The forum featured closed meetings of digital ministers from across Europe, including a confirmed appearance by Volker Wissing, the German Minister for Digital Affairs.

Nextrope's Active Participation in the AI Forum

Nextrope's presence at the AI Forum was marked by our active engagement in various activities in the Cracow University of Technology and University of Warsaw zone. One of the discussion panels we enjoyed the most was "AI in education - threats and opportunities".

Our Key Activities

Networking with Leading AI and Cryptography Researchers.

Nextrope presented its contributions in the field of behavioral profilling in DeFi and established relationships with Cryptography Researchers from Cracow University of Technology and the brightest minds on Polish AI scene, coming from institutions such as Wroclaw University of Technology, but also from startups.

Panel Discussions and Workshops

Our team participated in several panel discussions, covering a variety of topics. Here are some of them

  • Polish Startup Scene.
  • State in the Blockchain Network
  • Artificial Intelligence - Threat or Opportunity for Healthcare?
  • Silicon Valley in Poland – Is it Possible?
  • Quantum Computing - How Is It Changing Our Lives?

Broadening Horizons

Besides tuning in to topics that strictly overlap with our professional expertise we decided to broaden our horizons and participated in panels about national security and cross-border cooperation.

Meeting with clients:

We had a pleasure to deepen relationships with our institutional clients and discuss plans for the future.

Networking with Experts in AI and Blockchain

A major highlight of the Economic Forum in Karpacz was the opportunity to network with experts from academia, industry, and government.

Collaborations with Academia:

We engaged with scholars from leading universities such as the Cracow University of Technology and the University of Warsaw. These interactions laid the groundwork for potential research collaborations and joint projects.

Building Strategic Partnerships:

Our team connected with industry leaders, exploring opportunities for partnerships in regard to building the future of education. We met many extremely smart, yet humble people interested in joining advisory board of one of our projects - HackZ.

Exchanging Knowledge with VCs and Policymakers:

We had fruitful discussions with policymakers and very knowledgable representatives of Venture Capital. The discussions revolved around blockchain and AI regulation, futuristic education methods and dillemas regarding digital transformation in companies. These exchanges provided us with very interesting insights as well as new friendships.

Looking Ahead: Nextrope's Future in AI and Blockchain

Nextrope's participation in the Economic Forum Karpacz 2024 has solidified our position as one of the leading, deep-tech software houses in CEE. By fostering connections with academia, industry experts, and policymakers, we are well-positioned to consult our clients on trends and regulatory needs as well as implementing cutting edge DeFi software.

What's Next for Nextrope?

Continuing Innovation:

We remain committed to developing cutting-edge software solutions and designing token economies that leverage the power of incentives and advanced cryptography.

Deepening Academic Collaborations:

The partnerships formed at the forum will help us stay at the forefront of technological advancements, particularly in AI and blockchain.

Expanding Our Global Reach:

The international connections made at the forum enable us to expand our influence both in CEE and outside of Europe. This reinforces Nextrope's status as a global leader in technology innovation.

If you're looking to create a robust blockchain system and go through institutional-grade testing please reach out to contact@nextrope.com. Our team is ready to help you with the token engineering process and ensure your project’s resilience in the long term.

Monte Carlo Simulations in Tokenomics

Kajetan Olas

01 May 2024
Monte Carlo Simulations in Tokenomics

As the web3 field grows in complexity, traditional analytical tools often fall short in capturing the dynamics of digital markets. This is where Monte Carlo simulations come into play, offering a mathematical technique to model systems fraught with uncertainty.

Monte Carlo simulations employ random sampling to understand probable outcomes in processes that are too complex for straightforward analytic solutions. By simulating thousands, or even millions, of scenarios, Monte Carlo methods can provide insights into the likelihood of different outcomes, helping stakeholders make informed decisions under conditions of uncertainty.

In this article, we will explore the role of Monte Carlo simulations within the context of tokenomics.  illustrating how they are employed to forecast market dynamics, assess risk, and optimize strategies in the volatile realm of cryptocurrencies. By integrating this powerful tool, businesses and investors can enhance their analytical capabilities, paving the way for more resilient and adaptable economic models in the digital age.

Understanding Monte Carlo Simulations

The Monte Carlo method is an approach to solving problems that involve random sampling to understand probable outcomes. This technique was first developed in the 1940s by scientists working on the atomic bomb during the Manhattan Project. The method was designed to simplify the complex simulations of neutron diffusion, but it has since evolved to address a broad spectrum of problems across various fields including finance, engineering, and research.

Random Sampling and Statistical Experimentation

At the heart of Monte Carlo simulations is the concept of random sampling from a probability distribution to compute results. This method does not seek a singular precise answer but rather a probability distribution of possible outcomes. By performing a large number of trials with random variables, these simulations mimic the real-life fluctuations and uncertainties inherent in complex systems.

Role of Randomness and Probability Distributions in Simulations

Monte Carlo simulations leverage the power of probability distributions to model potential scenarios in processes where exact outcomes cannot be determined due to uncertainty. Each simulation iteration uses randomly generated values that follow a specific statistical distribution to model different outcomes. This method allows analysts to quantify and visualize the probability of different scenarios occurring.

The strength of Monte Carlo simulations lies in the insight they offer into potential risks. They allow modelers to see into the probabilistic "what-if" scenarios that more closely mimic real-world conditions.

Monte Carlo Simulations in Tokenomics

Monte Carlo simulations are instrumental tool for token engineers. They're so useful due to their ability to model emergent behaviors. Here are some key areas where these simulations are applied:

Pricing and Valuation of Tokens

Determining the value of a new token can be challenging due to the volatile nature of cryptocurrency markets. Monte Carlo simulations help by modeling various market scenarios and price fluctuations over time, allowing analysts to estimate a token's potential future value under different conditions.

Assessing Market Dynamics and Investor Behavior

Cryptocurrency markets are influenced by a myriad of factors including regulatory changes, technological advancements, and shifts in investor sentiment. Monte Carlo methods allow researchers to simulate these variables in an integrated environment to see how they might impact token economics, from overall market cap fluctuations to liquidity concerns.

Assesing Possible Risks

By running a large number of simulations it’s possible to stress-test the project in multiple scenarios and identify emergent risks. This is perhaps the most important function of Monte Carlo Process, since these risks can’t be assessed any other way.

Source: How to use Monte Carlo simulation for reliability analysis?

Benefits of Using Monte Carlo Simulations

By generating a range of possible outcomes and their probabilities, Monte Carlo simulations help decision-makers in the cryptocurrency space anticipate potential futures and make informed strategic choices. This capability is invaluable for planning token launches, managing supply mechanisms, and designing marketing strategies to optimize market penetration.

Using Monte Carlo simulations, stakeholders in the tokenomics field can not only understand and mitigate risks but also explore the potential impact of different strategic decisions. This predictive power supports more robust economic models and can lead to more stable and successful token launches. 

Implementing Monte Carlo Simulations

Several tools and software packages can facilitate the implementation of Monte Carlo simulations in tokenomics. One of the most notable is cadCAD, a Python library that provides a flexible and powerful environment for simulating complex systems. 

Overview of cadCAD configuration Components

To better understand how Monte Carlo simulations work in practice, let’s take a look at the cadCAD code snippet:

sim_config = {

    'T': range(200),  # number of timesteps

    'N': 3,           # number of Monte Carlo runs

    'M': params       # model parameters

}

Explanation of Simulation Configuration Components

T: Number of Time Steps

  • Definition: The 'T' parameter in CadCAD configurations specifies the number of time steps the simulation should execute. Each time step represents one iteration of the model, during which the system is updated. That update is based on various rules defined by token engineers in other parts of the code. For example: we might assume that one iteration = one day, and define data-based functions that predict token demand on that day.

N: Number of Monte Carlo Runs

  • Definition: The 'N' parameter sets the number of Monte Carlo runs. Each run represents a complete execution of the simulation from start to finish, using potentially different random seeds for each run. This is essential for capturing variability and understanding the distribution of possible outcomes. For example, we can acknowledge that token’s price will be correlated with the broad cryptocurrency market, which acts somewhat unpredictably.

M: Model Parameters

  • Definition: The 'M' key contains the model parameters, which are variables that influence system's behavior but do not change dynamically with each time step. These parameters can be constants or distributions that are used within the policy and update functions to model the external and internal factors affecting the system.

Importance of These Components

Together, these components define the skeleton of your Monte Carlo simulation in CadCAD. The combination of multiple time steps and Monte Carlo runs allows for a comprehensive exploration of the stochastic nature of the modeled system. By varying the number of timesteps (T) and runs (N), you can adjust the depth and breadth of the exploration, respectively. The parameters (M) provide the necessary context and ensure that each simulation is realistic.

Messy graph representing Monte Carlo simulation, source: Bitcoin Monte Carlo Simulation

Conclusion

Monte Carlo simulations represent a powerful analytical tool in the arsenal of token engineers. By leveraging the principles of statistics, these simulations provide deep insights into the complex dynamics of token-based systems. This method allows for a nuanced understanding of potential future scenarios and helps with making informed decisions.

We encourage all stakeholders in the blockchain and cryptocurrency space to consider implementing Monte Carlo simulations. The insights gained from such analytical techniques can lead to more effective and resilient economic models, paving the way for the sustainable growth and success of digital currencies.

If you're looking to create a robust tokenomics model and go through institutional-grade testing please reach out to contact@nextrope.com. Our team is ready to help you with the token engineering process and ensure your project’s resilience in the long term.

FAQ

What is a Monte Carlo simulation in tokenomics context?

  • It's a mathematical method that uses random sampling to predict uncertain outcomes.

What are the benefits of using Monte Carlo simulations in tokenomics?

  • These simulations help foresee potential market scenarios, aiding in strategic planning and risk management for token launches.

Why are Monte Carlo simulations unique in cryptocurrency analysis?

  • They provide probabilistic outcomes rather than fixed predictions, effectively simulating real-world market variability and risk.