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Jack Parsey's Top-Down Real Estate Investment Method
Jack Parsey's Top-Down Real Estate Investment Method
Description
Book Introduction
A word from MD
How to invest in data properly
It contains the investment know-how of Jack Parsey, a small real estate investment expert who created assets worth 10 billion won with 3 million won.
The Jack Parsey Top-Down Investment Method, which received a 5.0 rating from ClassU lectures, has been compiled into a single book.
Let's discover a surefire way to make money by organizing and utilizing essential investment indicators.
February 27, 2024. Economics and Management PD Kim Sang-geun
“I wonder if the apartment I bought will fall down now.
“No need to worry!”

'Gangnam Officetel' and 'Apartments with a Public Price of Less than 100 Million Won' Created an Investment Boom
The first data analysis method to find Jack Parsey's apartment!

- ClassU lecture rating: 5.0! The hottest real estate lecture!
- Korea's first! 6 leading real estate indicators for determining investment timing revealed!

- A 4-step top-down investment method to find things that will definitely go up!
- A complete analysis of the investment value of 22 cities with populations of over 200,000!

When I was a college student, I invested 20 million won in Hong Kong stocks and earned 100 million won.
However, the end of the stock investment was the delisting of the construction company that had been 'pulling' wages and loans, and the return was -90%.
My salary was less than 3 million won, and I didn't even have 10 million won in my bank account.
Still, I wanted to invest.
So I started investing in real estate.
Ten years later, he discovered new investment opportunities in the real estate market, such as apartments with a market price of less than 100 million won and officetels in Gangnam, which made people say, "There are no properties for sale." There were even investors who believed him and bought apartments they heard he bought.
This is the story of Jack Passey, the 'real estate salesman' who amassed assets worth 10 billion won with 3 million won.

The author published his first book, "I Bought a Small Apartment for 0 Won Without a Loan," in 2022, compiling the techniques and practical examples of small investments he had developed over the past 10 years.
This book became a bestseller, receiving rave reviews such as, "This is the first investment book that tells you everything like this."
In particular, the content that divided the country into three categories: the metropolitan area, metropolitan cities (including special self-governing cities and special self-governing provinces), and the seven local provinces, and pointed out the trends in the real estate market by region, received particular attention.
The online lecture, which explained this content in detail, also received a high satisfaction rating from students, with a perfect score of 5.0.
The new book, "Jack Parsey's Top-Down Real Estate Investment Method," expands this content into a single book.
You can learn from author Jack Parsey's proven data analysis and investment insights through this new book.

Jack Parsey's Top-Down Real Estate Investment Method consists of four steps.
It consists of the world (US) and Korean real estate markets in Stage 1, the provincial real estate market in Stage 2, the city real estate market in Stage 3, and the specific apartment complex in Stage 4. Stages 1 to 3 analyze the market flow by stage.
The author, who started investing in stocks, is accustomed to analyzing indicators and basing investments on numbers. After studying real estate big data for over 10 years, he was able to identify "leading indicators" that show market trends in advance, and even developed several of them himself.
This book explains these indicators in detail and explains how to use them for investing.
You can identify the areas and timings that are good for investment at once.
In the final 4th step, we will teach you the know-how of quick selling.
With this one book, you can use the "real estate leading indicator" to read market trends faster than anyone else, narrow down your investment area, and even learn how to buy apartments that are likely to rise first at a low price.
This book will be appealing not only to novice investors who are new to the real estate market and unsure of where to start, but also to experienced investors.
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index
Prologue | What Makes Jack Parsey's Top-Down Investment Method Different?
A Complete Guide to 6 Leading Indicators for Timing Your Investments

[Stage 1: Global (US) and Korean Real Estate Markets]
Understanding the flow of money is crucial to understanding the real estate market.


Real estate is finance and the flow of money.
The Bank of Korea monitors the flow of money in our country.
Timing Your Buys and Sells Based on the Correlation Between Money Supply and Apartment Prices
M2 liquidity and housing sales indices in the US and advanced economies
Data reflects the creator's intentions.
During the economic crisis that originated in the US, liquidity and housing indices did not match.
US real estate indicators that can signal an economic crisis
Economic indicators that detect signs of an economic crisis
Why We Obsessively Monitor the US Real Estate Market
Factors Driving US M2 Liquidity
M2 liquidity YoY and national apartment sales index
M2 liquidity YoY, YoY moving average, and Seoul apartment sales index
Breaking down M2 liquidity reveals hints.
Two things that absolutely affect real estate prices

[Stage 2: Real Estate Market by Province]
Dividing the country into three groups simplifies investing.


The core of the unit analysis is KB Real Estate time series data.
Dividing the country into three groups reveals market trends.
Understanding the buying power index can help you predict future trading prices.
Data on the increase and decrease in jeonse listings is key to real estate investment.
Timing your investments by using the consolidation of the trading price fluctuation rate.
Timing Your Investments with Quadrant Trading Charts
Timing Your Investments Through Market Strength
Examining the real estate market atmosphere through the initial sale rate of private apartments.

[3-Stage City Real Estate Market]
Preemptively position your investment area based on trading volume and supply.


Divide the city size by population to select a place to invest.
Analysis of investment value in cities with a population of 200,000 or more
The upward trend is conveyed in order of population.
How to Integrate City-level Real Estate Market Flows with Province-level Grouping
If the transaction volume is above the average, the real estate transaction index rises.
Market direction is determined by sales and lease transaction volume.
Analysis of the seven provinces is completed by checking the volume of transactions by foreigners.
Local investment requires a closer look at supply rather than liquidity.
If you flip the value of unsold units, it precedes the sales index.

[4-Step Specific Apartment Complex]
There's a separate know-how for finding a quick sale property.

Cheap apartments in the provinces can't keep up with the liquidity.
Even in a small city with a population of 100,000, the 5th quintile is rising.
Everyone's dream is to have a chance to buy a luxury apartment.
Find themes where buying power is concentrated due to changes in policy or tax laws.
Make consistent profits with minimal capital
PIR considering the continuously increasing average household income
The most effective way to find a quick sale
Once you've completed your analysis and research, all that's left is the forestry activities.
The area with the most academies occupies the top position.
Investment decisions should be based on mathematical evidence.

Epilogue | Until the day you gain confidence in investing with your own data

Detailed image
Detailed Image 1

Into the book
To maximize your returns, you need to understand the investment flow and be among the first to enter the market.
By examining each component of liquidity in detail, we can accurately grasp market trends, something that cannot be fully understood through the M2 liquidity indicator.
Here's a quick overview of the best and worst times to invest:
In the graph seen above, the period suitable for investment, that is, the period when the year-over-year growth of savings deposits with a maturity of less than 2 years increases, is marked in green, and the period when the year-over-year growth of time deposits with a maturity of less than 2 years, which is not suitable for investment, is marked in yellow.
There are cycles in investing too.
If you've lost money investing, it's not simply because you were unlucky, it's because you completely failed to read the flow of this cycle.
Conversely, if you made money through investments but didn't know why, it was probably a time when money flowed into investments rather than savings.
The M2 liquidity YoY indicator precedes the trading index, and the savings deposit YoY and time deposits with a maturity of less than 2 years precede the M2 liquidity YoY indicator, so knowing this can help you read the market trend in advance.
--- p.96~97, from "Stage 1: The World (US) and Korea Real Estate Market | Understanding the Flow of Money Understands the Real Estate Market"

The reason for grouping by province is to simplify the complexity by dividing the country into three parts: the metropolitan area, metropolitan cities, and seven local provinces, and to find the region with the highest correlation coefficient in each province and couple them.
If you know the areas with high correlations, you can use them to invest.
If area A is rising but area B, which has a high correlation with A, is still falling, you can see that the current price in area B is cheap.
Then, all you have to do is buy the items from area B and wait.
Because we know how region B will move in the future due to region A, which has a high correlation.
Let's first examine the first group, the metropolitan area data for Seoul, Gyeonggi, and Incheon. In the KB Real Estate time-series data, the data for Seoul and Incheon begin in 1986, while the data for Gyeonggi begin in 2003.
Just by looking at it, you can see that all three regions move the same way, and if you look at the inflection points on the graph, you can also see that Seoul is the fastest.
If Seoul rises first, Gyeonggi and Incheon will follow suit.
In fact, Seoul, Gyeonggi, and Incheon are metropolitan areas with a combined population of approximately 26 million, which is more than half of the country's population.
You can't just look at it with your eyes and pass it off as similar.
Since we learned about correlation coefficients earlier, we should try to prove real estate numerically.
The reason real estate is difficult is because it feels vague, but if you continue to do this kind of work, you will be able to have a solid basis in numbers, so the vagueness will disappear and you will feel clear.
--- p.115~117, from "Two-stage real estate market by province | Dividing the country into three groups simplifies investment."

The correlation coefficient of apartment sales indices for the 7 provincial groups can be found in the table below.
This also calculated a total of 36 functions in Excel and marked them in gray to see which area had the highest correlation.
Gangwon had the highest in South Chungcheong Province, and North Chungcheong Province and South Chungcheong Province had the highest.
In the case of South Chungcheong Province, North Chungcheong Province is the highest, and in the case of North Jeolla Province, South Gyeongsang Province is the highest.
It seems a bit unusual that the region with the highest correlation coefficient for Jeonbuk is Gyeongnam. Let's take a closer look at this later.
And Jeonnam is the highest in the same province as Jeonbuk, Gyeongbuk is the highest in Chungbuk, and Gyeongnam is the highest in Jeonbuk.
Gyeongbuk and Gyeongnam also have the characteristic that they do not have the highest correlation coefficients within the same province.
--- p.125, from "Two-stage real estate market by city unit | Dividing the country into three groups simplifies investment."

There are three things we need to look at by region: population and number of households, total number of businesses and average monthly income, and number of national pension subscribers at the business site.
If I were to invest, I would need to check whether these indicators are consistently improving in the city area.
Doesn't this sound familiar? Yes.
This is in the same context as comparing the real estate transaction index of other countries, including Korea, based on the labor force and GDP growth rate in the first stage of the global (US) and Korean real estate market.
In the same context, we plan to analyze a total of 22 cities with a population of over 200,000 among the seven provinces.
Before explaining each city, I first organized the population, number of households, total number of businesses, average monthly income, and number of national pension subscribers at businesses into a simple table.
It should be noted that these data can only assess regional size at a specific point in time.
What's more important to consider is whether the data in the area you're investing in is showing an increasing trend rather than a negative decline.
--- p.194~195, from "3-stage city-level real estate market | Preempting investment areas with transaction volume and supply"

If I don't leave a mathematical basis for why I bought something at that point in time before buying it, even if the investment turns out well, I will have no choice but to rely on my gut feeling later on.
If that investment didn't work out, it's likely that the mathematical basis I wrote down was wrong, so I just need to supplement and revise those numbers.
Any man who has served in the military will probably know this.
When you first get a gun, you have to zero it to fit your shooting style.
If you aim for the center and the gun keeps drifting to the left, adjust the zero point to the right so that it points to the center.
Similarly, if there is something wrong with an investment, it must be clearly mathematically calculated and corrected.
--- p.337, from "4-Step Concrete Apartment Complex | There is a separate know-how for finding a quick sale property"

Publisher's Review
The investment boom in 'apartments with a public price of less than 100 million won' and 'Gangnam officetels'
Jack Parsey, the 'real estate salesman', returns as a 'real estate big data analysis expert'!


After the local tax law revision went into effect in August 2020, author Jack Passy discovered an investment opportunity called "apartments with a public price of 100 million won or less," invested in about 20 small apartments in local areas, and shared his investment records on his blog, sparking a boom in gap investment in local apartments.
In 2022, the popularity of investing in Gangnam officetels was boosted by the book "I Buy a Small Apartment for 0 Won Without a Loan," to the point where there were rumors that there were no more officetels for sale.


The reason he was able to discover new investment opportunities and secure profitable real estate faster than anyone else was because he had been consistently tracking various real estate big data for 10 years.
To understand the global flow of money, I have analyzed 50 economic indicators of the top 20 countries by GDP every month, quarterly, and annually. To understand the Korean real estate market, I have analyzed statistical data published by various organizations such as KB Real Estate and the Korea Real Estate Board every week.
There are over 100 big data items that are checked periodically like this.
He goes beyond simply analyzing real estate big data, developing his own investment formula and data analysis methods and even preparing a patent.
His new book, "Jack Parsey's Top-Down Real Estate Investment Strategy," is a book that contains all of his 10 years of data analysis know-how.

“Snatch up the apartment that will rise faster than anyone else!”
Find an apartment that will rise with the 4-step Jack Parsey top-down investment method.
A confident investment method that uses six leading real estate indicators to determine the right time to invest!


Jack Parsey's Top-Down Real Estate Investment Method consists of four steps.
Step 1 is to understand the real estate market trends in Korea and the world, led by the United States.
To do this, we need to understand the trend of changes in M2, which shows the country's monetary liquidity.
This is examined through the year-over-year change rate (YoY) and compared to the national and Seoul apartment sales indices to show how it can be used as a leading indicator of the real estate market.
This may be the first book to apply moving averages, previously only seen in stock investment, to real estate investment.

Step 2: If you have confirmed in Step 1 that the market has bottomed out and is turning upward, then in Step 2, you analyze the flow of the real estate market by city to decide which area to enter.
The leading indicators we'll examine in Step 2 are the "buying advantage index," the "sales price change rate," and "market strength." The buying advantage index and apartment sale price change rate from KB Time Series data, and the market strength from the Real Estate Knowledge app, are already well-known leading indicators, but you can learn how to utilize them for investment using the author's unique analytical method.
The apartment sale price increase/decrease rate is easy to understand for even beginners as it allows for a simple and intuitive understanding of macro trends.
In step 2, the correlation coefficient tells us which region is coupled with which region and how the market moves.
The reason this data is important is because if you have a good understanding of the highly correlated regions, and you know that regions A and B are coupled, if region A turns upward but region B is still flat, you can consider investing in region B.
Because Region A already has a high correlation, we can know the direction in which Region B will move in the future.
And when we looked at the coupled regions through the correlation coefficient, we discovered that some unexpected regions were coupled.
More details about this can be found in the book.

Step 3 will teach you how to narrow down your investment area by analyzing the city-level real estate market.
Here, we provide leading indicators called ‘supply/unsold units’ and ‘foreigner transaction volume.’
In particular, the volume of transactions by foreigners is useful for understanding local market trends as it allows us to understand the trends of investors who are not actual residents.
While the previous book only analyzed the provinces, this book analyzes all 22 cities with a population of over 200,000.

Step 4 tells you how to specifically decide which apartment complex to invest in.
The author reveals all of his know-how, from informing you about apartments that are affected by market prices to how small investors can find properties for sale quickly.
The author reveals how to find quick sales properties through various apps, including Naver Pay Real Estate, which he uses most frequently.

“Data never lies, even when policies and markets change!”
An all-in-one investment book that even teaches you how to process data to establish your own investment criteria!


Jack Parsey's Top-Down Real Estate Investment Method introduces dozens of real estate data-related information, including leading real estate indices.
And there are various devices provided to show this intuitively.


Through 'How to Download [Check] Essential Real Estate Data', the author explains where to download or check the key data analyzed in the book, and through 'Key Data Production Formulas', the author organizes the meaning and formulas used to analyze real estate big data.
'Essential Data Processing Methods' even teaches readers how to easily process data themselves using Excel.
The advantage of processing data directly is that you can obtain data that is free from the perspectives and interpretations of others.
Additionally, through 'Jack Parsey's Data Analysis Method', the author shares his unique data analysis know-how and the investment principles and principles derived from it.

In addition, in the section on regional analysis, we added a 'data analysis example' section where readers can directly apply the data analysis methods covered in the text.
You can practice data analysis with the same feeling as practice problems in a textbook.
Finally, 'Jack Parsey's Investment Insights' goes beyond data analysis and shows how to apply it to real-world investments.
Ultimately, this book is an investment book.
No matter how knowledgeable a theory is, it is meaningless to investors if it cannot be applied to investment.
This book clearly demonstrates that it covers only the essential data for practical investors.

In this way, this book will provide valuable insights not only for beginner investors who have decided to invest but are unsure of what to do, but also for investors who want to develop their market perspective, from how to ride the market cycle to how to identify rising areas, to how to time investments and find quick sales.

★ClassU lectures receive a perfect 5.0 rating! Praise from investors who learned "Jack Parsey's Top-Down Investment Method" first!★

“I was impressed by the way the various data were explained in indices.
I could really feel your sincere desire to tell me everything.
I will watch it again and make it mine.” _Langrangi

"This is a completely different approach from how I've studied real estate before, so I can only say it's amazing! I'll go back and start over and create my own resources." _Namju

“I’ve read many other real estate books and attended lectures, but the content is truly informative thanks to the generous sharing of know-how.
“It was my first time reviewing and organizing things in my own way.” _Oh Han-su

“I was able to see and feel a lot about the attitude toward investing and the efforts required.” _Jeong Eun-bin, Yullim

“After I happened to see your blog, I was so captivated that I even took a class.
I had a vague idea that I should use data when investing, but this gave me the opportunity to make it concrete.
“I felt sincerity in the part where you took the time to help me use the decision-making tools properly.” _Bom’s Dad
GOODS SPECIFICS
- Date of issue: February 21, 2024
- Page count, weight, size: 344 pages | 744g | 173*243*21mm
- ISBN13: 9791130650944
- ISBN10: 1130650944

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