Showing posts with label Housing market. Show all posts
Showing posts with label Housing market. Show all posts

Sunday, February 15, 2026

Sid's Bookshelf: Elevate Your Personal and Business Potential

 Note: Paperback and Hardcover versions are also available on Amazon. 

35. Econometric Modeling: Achieving BLUE Status through Real-World Housing Case Studies

                                        Kindle Version  PDF Version

34. Making Valuation Modeling (AVM and CAMA) More Econometric

                                            Kindle Version  PDF Version

33. Enhancing High-Volume Comparable Sales Processing with Regression Models

                                            Kindle Version  PDF Version

32. The Gospels Reimagined: A Modern Lens on the Life and Legacy of Jesus

                                           Kindle Version  PDF Version

31. Trading: Advanced Analytics for Traders with 7-to-30-Day Time Horizons

                                     Kindle Version  PDF Version

30. Navigating the Data Revolution: A Playbook for Independent Financial Advisors

·                                          Kindle Version  PDF Version

29. The Quantitative Investor: Mastering Data-Driven Strategies for Optimal Asset Allocation: Analyzing Stocks, Bonds, Gold, Bitcoin, and Other Assets for Enhanced Returns and Risk Management


                               Kindle Version  PDF Version

28. The Quantitative Country Analyst: A Data-Driven Guide to Global Mobility

                                 PDF Version  Kindle Version

27. The Nomad's Compass: A Data-Driven Guide to Global Retirement and Investment

                             PDF Version  Kindle Version

26. The Pensionado Path: A Comprehensive Exploratory Guide to Affordable Retirement in Latin America

                               PDF Version  Kindle Version

25. Tax Justice: A Blueprint for Replacing Property Taxes with Middle-Class-Friendly Reforms

                                 PDF Version  Kindle Version

24. Revolutionizing Property Tax Assessment: Navigating a Shifting Real Estate Market in the Era of Declining Commercial Tax Revenue

                                  Kindle Version  PDF Version

23. The Art and Science of Comparable Sales Analysis in Property Valuation

                    Kindle Version  PDF Version

22. Mastering Mass Appraisal Modeling: A Hands-On Guide with Real-World Data

                        Kindle Version  PDF Version

21. From Basics to Breakthroughs: A Beginner's Journey in Data Analysis and Modeling in Excel

                          Kindle Version  PDF Version

20. A Beginner’s Guide to Automated Valuation Modeling (AVM): Step-by-Step Demonstration of Model Development with Real-World Data and Numerous Illustrations

                      Kindle Version  PDF Version

19. A Beginner's Guide to Hands-on Statistical Analysis and Modeling in Excel with Housing Case Studies

                   Kindle Version  PDF Version

18. Bailing out the Dysfunctional US Property Tax System

            Kindle Version  PDF Version

17B.  Revolutionizing Resale: An AI-Assisted Guide to Tesla Model Y Market Trends for Consumers and Industry Analysts

                Kindle Version  PDF Version

17A. Data-Driven Decisions: Unlocking the Tesla Model 3 Resale Market and Buying Strategies with AI

               Kindle Version  PDF Version

 16. The AI Advantage: Strategic Retirement Planning for New Professionals 

         Kindle Version  PDF Version

15. From Stay-at-Home to Successful Entrepreneurs: AI-Assisted Property Assessment Appeals

             Kindle Version  PDF Version

14. Mastering Assessment Ratio Challenges: A Comprehensive AI-Enhanced Guide for Appraisers and Property Tax Professionals

         Kindle Version  PDF Version

13. AI-Assisted Property Assessment Appeals: A Comprehensive Guide to Winning Your Case and Reducing Property Taxes with Advanced Strategies

            Kindle Version  PDF Version

12. Automated Valuation Modeling (AVM) Made Easy: A Beginner's Guide with Interactive AI Chatbot ChatGPT and Real-World Data

            Kindle Version  PDF Version

11. AI-Curated Wedding Menus: A Comprehensive Guide to Menu Planning and Cost Management

            Kindle Version  PDF Version

10. The AI Revolution: Reshaping the Future of Work

            Kindle Version  PDF Version

9. AI Revolutionizing Real Estate: Exploring Case Shiller Index for Smart Predictions

            Kindle Version  PDF Version

8. AI Investing 101: A Comprehensive Guide for New Investors in the Stock Market

            Kindle Version  PDF Version

7. Revolutionizing Data Analysis and Modeling with AI: A Hands-On Guide

            Kindle Version  PDF Version

6. AI Unleashed: Mastering the Art of Investing in Magnificent Seven Bellwether Stocks

            Kindle Version  PDF Version

5. Mastering the Stock Market with AI: Advanced Analysis and Strategic Techniques

            Kindle Version  PDF Version

4. The Conversational AI Revolution: How ChatGPT and Bard Are Changing the Way We Communicate

            Kindle Version  PDF Version

3. The Future of Housing: A Guide to AI-Powered Real Estate Solutions

            Kindle Version  PDF Version

2. How to Use AI Chatbot Bard to Master Data Analysis and Modeling

            Kindle Version  PDF Version

1. Conversations with ChatGPT: Exploring the Future of Humanity (Updated 2.0 is available)

            Kindle Version  PDF Version

Friday, December 5, 2025

Book: Econometric Modeling: Achieving BLUE Status through Housing Case Studies

Link to the Kindle version

Book Summary

"Econometric Modeling: Achieving BLUE Status through Housing Case Studies" provides the essential, step-by-step methodology required for students, quantitative analysts, and economists to construct, validate, and defend statistical models that adhere to the highest standards of econometric theory—specifically, the Best Linear Unbiased Estimator (BLUE).

This book is dedicated to bridging the gap between OLS theory and practical, high-stakes empirical analysis. Comprising eleven comprehensive chapters, the book progresses through the following core stages:

Part I: Establishing the Foundation (BLUE Methodology)

We begin by establishing the mathematical and operational defense of Ordinary Least Squares (OLS) regression as the optimal tool for linear estimation. This section introduces a systematic framework for rigorous data preparation, including the Two-Pass Methodology for outlier removal and error-distribution normalization, and a critical approach to variable selection that structurally safeguards the model against pervasive issues such as Omitted Variable Bias (OVB) and Multicollinearity.

Part II: Advanced Coding and Coefficient Generation

The core of the methodology is demonstrated through the systematic application of advanced categorical coding techniques—including Dummy, Effect, One-Hot, and Ordinal Coding. We show how these techniques are meticulously applied to generate clear, statistically significant, and explicit dollar coefficients for both continuous and discrete attributes, while maintaining the model's linearity and maximizing explanatory power.

Part III: Validation, Application, and Compliance

The final chapters transition from estimation to proof. We provide rigorous diagnostics to confirm adherence to the core OLS assumptions (Homoscedasticity and Normality) and establish external validity by demonstrating that the sales sample is a precise microcosm of the larger population. The book concludes by demonstrating the model's application—from top-down (population-level) performance metrics to the creation of bottom-up, objective valuation grids—ensuring that the final derived coefficients are fully validated and compliant with the BLUE requirements.

This text is a crucial resource for any analyst or technician seeking to move beyond simple regression and master the creation of statistically defensible, unbiased econometric models.

Saturday, September 20, 2025

Book: Making Valuation Modeling (AVM and CAMA) More Econometric

Link to the Kindle version

Book Summary

Making Valuation Modeling (AVM and CAMA) More Econometric is the definitive guide to transforming proprietary black-box valuation systems into transparent, statistically defensible models.
This book provides a systematic, step-by-step framework for achieving 
Best Linear Unbiased Estimator (BLUE) status for your valuation coefficients. You'll master the econometric discipline required to:

  • Establish Structural Integrity: Use the Two-Pass Regression Approach and the Foundational/Conditional Variable Strategy to eliminate Omitted Variable Bias and ensure model stability.
  • Generate Transparent Adjustments: Apply advanced Dummy, Effect, and One-Hot Coding to replace subjective heuristics with explicit, data-driven dollar adjustments for time and location.
  • Prove Defensibility and Equity: Validate your model using industry-standard checks, including the Sales Representativeness Test and the IAAO Guidelines (COD & PRD), to prove high uniformity and fairness across value ranges.

This book is a call to action for mass appraisal professionals, AVM scientists, and risk managers to move beyond simple prediction and embrace the econometric imperative. It will help build models that are not only accurate but also equitable, transparent, and legally defensible.

Sunday, July 20, 2025

FOMO Economics: The Behavioral Force Behind Market Booms and Busts

In the complex tapestry of global finance, traditional economic theories often portray rational actors making calculated decisions. Yet, increasingly, a powerful, often subconscious force is at play, subtly (and sometimes not so subtly) influencing market behavior: the Fear Of Missing Out, or FOMO. This isn't just a social media phenomenon; it's a profound psychological driver that has carved out a significant role in shaping asset prices, particularly in the volatile stock market landscape.

We've recently witnessed it in the relentless climb of the leading stock indices, where every dip seems to be met with a surge of buyers, pushing valuations to new highs, often on curiously thin trading volumes. Is this pure fundamental strength, or something more primal?

This blog post delves into FOMO economics, examining how this universal behavioral force drives speculative cycles, distorts rational pricing, and creates patterns of overshooting followed by potential corrections across seemingly disparate markets – from highly liquid stocks to the often-stagnant housing market. We'll uncover its key characteristics, ground them in established behavioral economics, and present a clear "FOMO Cycle" model to help you better understand the unseen hand guiding today's market movements.

How FOMO Fuels Market Dynamics

In today's fast-paced financial world, FOMO has become a significant driver of economic decision-making, particularly in volatile asset markets like stocks and housing. It's a phenomenon that warps traditional rational pricing, creating speculative cycles that defy fundamental analysis.

Let's delve into the core characteristics and pervasive impact of FOMO economics.

1. FOMO: A Universal Economic Force Rooted in Behavioral Psychology

At its core, FOMO in economics is the anxiety that an individual experiences when they perceive that others are achieving positive outcomes (e.g., financial gains, advantageous acquisitions) from which they are excluded. This isn't merely about greed; it's a deep-seated behavioral response triggered by a perceived opportunity cost. When asset prices are surging, the fear of not participating can become more potent than the fear of potential losses.

This force isn't confined to a single market. Whether it's the frantic bidding wars for a house, the speculative frenzy around a new cryptocurrency, or the relentless climb of a tech stock, FOMO taps into universal psychological biases that influence human decisions across any asset market where individuals drive prices. It's a recognition that emotions, not just cold calculations, significantly dictate market activity.

2. Key Economic Characteristics of FOMO-Driven Markets

FOMO leaves distinct fingerprints on the markets it influences. Recognizing these characteristics is crucial for understanding their economic impact:

a)   Herd Behavior: This is the most visible manifestation of this phenomenon. As prices rise, individuals observe others profiting and, driven by the fear of being left behind, mimic their actions. This collective "lemming effect" can create powerful, self-reinforcing buying frenzies in which the act of buying is validated by the crowd rather than by underlying value.

b)   Price Overshooting: Fueled by herd behavior and intense buying pressure, assets are pushed significantly above their intrinsic or fundamental value. Rational valuation metrics (like P/E ratios for stocks or rental yields for housing) become secondary to the perceived certainty of continued price appreciation. Buyers are willing to pay almost any price, believing they can offload it at an even higher price later.

c)    Low Post-Surge Volumes: Paradoxically, after a massive FOMO-driven surge, trading volumes often plummet, suggesting that the initial pool of eager buyers has been exhausted. Those who wanted in are now in, and new money is hesitant to enter at elevated, speculative prices. Existing holders, having seen their gains, become reluctant to sell, either hoping for further appreciation or simply becoming "bag holders" if the market turns. This thinning volume signifies a loss of momentum and a highly vulnerable market. The following graphic compares the S&P 500 volume on July 18, 2025 (3,045,580,000), to the average volume (5,101,584,193):

(Source: Yahoo Finance)

a)   Asymmetric Risk Perception: In a FOMO environment, the perceived risk of missing out on potential gains dramatically outweighs the perceived risk of incurring losses. Investors become disproportionately focused on the upside, often downplaying or outright ignoring red flags and fundamental weaknesses. This skewed perception encourages excessive risk-taking and irrational exuberance.

3. Speculative Cycles: Prices beyond Value, Followed by Correction Risk

FOMO isn't a static event; it initiates and propagates speculative cycles that can lead to market instability. These cycles are characterized by:

a)   Departure from Fundamentals: The initial trigger (e.g., a breakthrough technology, a period of low interest rates) attracts attention. As FOMO takes hold, prices detach from their underlying economic realities. In the stock market, this means companies with questionable earnings or unsustainable business models see their valuations skyrocket. In housing, property values soar far beyond local income growth or rental affordability.

b)   Unsustainable Growth: The momentum of FOMO buying creates a positive feedback loop, but it's inherently unsustainable. There's a finite pool of capital and buyers.

c)    Volume Decline as a Precursor: As discussed, once the speculative surge exhausts itself, the volume declines are a critical signal. This "thinning" of the market means that even small shifts in supply or demand can have a disproportionate impact on price.

d)   Correction Risk: When the music stops – either due to profit-taking, a change in narrative, or simply a lack of new buyers – the inflated prices become vulnerable. The market can then experience a rapid and often painful correction, as prices recalibrate back toward more rational, fundamental valuations. The stock market's "dot-com" bubble burst, and the 2008 housing crisis are stark examples of FOMO-driven speculative cycles that culminated in significant corrections.

4. Recent Examples: S&P 500 and NASDAQ Rallies (2025)

To ground this theory in current reality, consider the recent market behavior. As of mid-2025, we've observed a remarkable resilience and upward trajectory in major indices. For instance:

a)   S&P 500's Defiance: Following pullbacks in April 2025, the S&P 500 not only recovered rapidly but pushed to new all-time highs. This swift rebound, often defying traditional valuation concerns, has a distinct FOMO signature. Many investors, having missed earlier gains, jumped in on subsequent dips, fearing they'd be left out of a continuing bull run.

(Source: Yahoo Finance)

a)   NASDAQ's Tech-Fueled Surge: The NASDAQ, driven by excitement around [e.g., AI advancements, quantum computing narratives], has seen even more aggressive rallies. Despite some analysts questioning lofty valuations, the consistent upward momentum and narratives of transformative technologies have created a powerful sense of urgency among investors, both retail and institutional, to gain exposure.

In both cases, anecdotal reports suggest that many buyers were motivated more by the fear of missing out on further appreciation than by rigorous fundamental analysis. Furthermore, after these rapid surges, observers have noted periods where volumes subsided, even as prices continued to grind slightly higher – a classic indicator of a market potentially running on fumes rather than fresh fuel.

5. Unifying Price Dynamics: How FOMO Distorts Rational Pricing across Markets

The beauty (and danger) of FOMO as an economic theory is its unifying power. It explains seemingly disparate price dynamics across markets by directly amplifying universal psychological biases that reside in every human decision-maker.

Rational pricing models rely on efficient markets, where all available information is instantly reflected in prices, and investors make logical decisions based on fundamental value. FOMO directly distorts this. It injects:

a)   Emotional Contagion: The excitement and perceived success of others bypass rational thought, leading to impulsive decisions.

b)   Focus on Price Action over Value: Instead of asking "What is this worth?" the FOMO-driven investor asks "How much higher will this go?"

c)    Self-Fulfilling Prophecies (Temporarily): Because enough people buy due to FOMO, prices do indeed go up, reinforcing the initial irrational decision for a period, until the underlying fundamentals reassert themselves.

This psychological amplification means that whether stocks, real estate, commodities, or even collectibles are chased, the core human biases are at play, leading to similar patterns of overvaluation and eventual correction when FOMO drives the market.

6. FOMO Transcends Market Structure: Liquid Stocks vs. Illiquid Housing

One might argue that market structure differences (e.g., the high liquidity of stock markets versus the illiquidity of real estate) would fundamentally change how FOMO operates. However, FOMO's origin in human psychology means it transcends these structural differences, manifesting simply in different ways:

a)   Liquid Stock Markets: FOMO can ignite rapid, almost instantaneous price spikes. The ease of buying and selling (low transaction costs, fractional shares) enables rapid herd formation and highly volatile price movements. The "trigger-surge-volume decline" cycle can play out over weeks or even days.

b)   Illiquid Housing Markets: While slower to react, FOMO is equally potent. The fear of being priced out of a neighborhood or city, coupled with rising prices, can lead to bidding wars, waived contingencies, and buyers overpaying significantly. The cycle plays out over months or years, with demand declines manifesting as properties sitting on the market for more extended periods before eventually leading to price adjustments.

In both scenarios, the underlying psychological pressure to acquire an asset, driven by the fear of missing out on gains (or being permanently excluded from ownership), is the same. The difference lies in the speed and scale of market reaction, which are dictated by transaction costs and the ease of entry/exit.

7. Grounding the Theory: Behavioral Economics Concepts

To provide a robust foundation for FOMO economics, we can draw upon established behavioral economics concepts:

a)   Prospect Theory (Kahneman & Tversky): This theory posits that individuals evaluate potential outcomes in terms of gains and losses from a reference point, and that losses loom larger than equivalent gains (loss aversion). In a FOMO scenario, the "loss" of not participating in a rising market (the missed gain) is often felt more acutely than the potential loss of capital if the market falls. This asymmetry drives risk-seeking behavior when chasing gains.

b)   Social Proof (Cialdini): People are more likely to adopt a belief or action if they see many others doing so, especially in uncertain situations. When stock prices are soaring, or housing bids are rampant, it provides compelling "social proof" that buying is the correct, even wise, decision, overriding individual skepticism. "Everyone else is doing it" becomes a powerful, often unconscious, motivator.

c)    Recency Bias: Investors often overemphasize recent events. If the market has been consistently going up, recent gains become the benchmark, fueling the belief that this trend will continue indefinitely, thereby increasing FOMO.

d)   Confirmation Bias: Individuals tend to seek out and interpret information in a way that confirms their pre-existing beliefs. In a FOMO-driven rally, investors will readily find news and analysis that supports their decision to buy, dismissing contrary evidence.

8. The "FOMO Cycle" Model

To synthesize these ideas, we can propose a clear model applicable across asset classes:

The "FOMO Cycle":

1)   Trigger: An initial positive event or narrative emerges, sparking optimism. This could be strong earnings from a few key companies, a technological breakthrough, a significant interest rate cut, or a government stimulus package.

Example: The announcement of a new AI breakthrough drives initial optimism in tech stocks.

2)   Speculative Surge (FOMO Influx): Early gains from the trigger event cause widespread FOMO. Individuals, observing others profiting, rush into the market, often with little regard for fundamental valuation. Herd behavior and social proof amplify the buying, pushing prices significantly above intrinsic value.

Example: Retail and institutional investors pile into AI-related stocks, causing rapid, parabolic price increases and "irrational exuberance."

3)   Volume Decline (Exhaustion/Thinning Market): The pool of eager buyers begins to dry up. Those who wanted to participate are now in, and new money is hesitant to enter at elevated prices. Existing holders may be reluctant to sell, hoping for more gains. While prices may still rise incrementally or plateau, the critical sign is a noticeable decline in trading volume compared to the surge phase. The market becomes "thin" and vulnerable.

Example: The NASDAQ continues to notch new highs, but daily trading volume significantly trails that seen during the initial surge, indicating less fresh capital is entering.

4)   Correction Risk (Reversal/Recalibration): With depleted buying pressure and thin liquidity, the market becomes highly susceptible to shifts in sentiment or negative news. Profit-taking by early investors, a change in economic outlook, or a minor catalyst can trigger a rapid sell-off as prices correct back towards more sustainable, fundamental valuations.

Example: A minor disappointment in corporate earnings or a slight interest rate hike leads to a sharp, swift sell-off in overvalued tech stocks, triggering broader market concern.

This "FOMO Cycle" offers a powerful lens for analyzing and anticipating market movements, reminding us that even in the most sophisticated financial systems, human psychology remains a dominant, often irrational force. Understanding FOMO isn't just an academic exercise; it's a critical tool for navigating today's volatile markets.

Conclusion

The evidence is clear: FOMO is far more than a fleeting trend; it's a fundamental economic force, deeply rooted in human psychology, that significantly influences asset markets. We've seen how its characteristics – from herd behavior and price overshooting to the telling sign of low post-surge volumes and asymmetric risk perception – create unsustainable speculative cycles. Whether driving the exhilarating (and sometimes terrifying) surges in the S&P 500 and NASDAQ or fueling bidding wars in the housing market, FOMO consistently pushes prices beyond fundamental values, ultimately paving the way for a correction.

By understanding the "FOMO Cycle" – Trigger, Speculative Surge, Volume Decline, and Correction Risk – investors gain a crucial framework for interpreting market dynamics that often defy traditional analysis. This model, grounded in behavioral economics concepts such as Prospect Theory and Social Proof, reveals that differences in market structure (liquid stocks versus illiquid housing) merely alter the manifestation of FOMO, not its underlying power.

In an increasingly interconnected and information-rich world, the fear of being left behind will likely continue to exert its profound influence. Recognizing the signs of FOMO-driven markets isn't about predicting the exact moment of a turn, but about gaining the foresight to distinguish genuine growth from speculative froth, enabling more rational and resilient investment decisions amid emotional tides.

Thursday, November 28, 2024

Sid's Bookshelf: Elevate Your Personal and Business Potential

 Note: These books are also available on Amazon in Paperback and Hardcover versions. 

28. The Quantitative Country Analyst: A Data-Driven Guide to Global Mobility

                                 PDF Version

                                    Kindle Version

27. The Nomad's Compass: A Data-Driven Guide to Global Retirement and Investment

                             PDF Version        

                             Kindle Version

26. The Pensionado Path: A Comprehensive Exploratory Guide to Affordable Retirement in Latin America

                               PDF Version

                                 Kindle Version

25. Tax Justice: A Blueprint for Replacing Property Taxes with Middle-Class-Friendly Reforms

                                 PDF Version

                                 Kindle Version

24. Revolutionizing Property Tax Assessment: Navigating a Shifting Real Estate Market in the Era of Declining Commercial Tax Revenue

                                  Kindle Version

                                  PDF Version

23. The Art and Science of Comparable Sales Analysis in Property Valuation

                    Kindle Version

                                PDF Version

22. Mastering Mass Appraisal Modeling: A Hands-On Guide with Real-World Data

                        Kindle Version

                          PDF Version

21. From Basics to Breakthroughs: A Beginner's Journey in Data Analysis and Modeling in Excel

                          Kindle Version

                             PDF Version

20. A Beginner’s Guide to Automated Valuation Modeling (AVM): Step-by-Step Demonstration of Model Development with Real-World Data and Numerous Illustrations

                      Kindle Version

                        PDF Version

19. A Beginner's Guide to Hands-on Statistical Analysis and Modeling in Excel with Housing Case Studies

                   Kindle Version

                     PDF Version

18. Bailing out the Dysfunctional US Property Tax System

            Kindle Version

                    PDF Version

17B.  Revolutionizing Resale: An AI-Assisted Guide to Tesla Model Y Market Trends for Consumers and Industry Analysts

                Kindle Version

                PDF Version

17A. Data-Driven Decisions: Unlocking the Tesla Model 3 Resale Market and Buying Strategies with AI

               Kindle Version

               PDF Version

 16. The AI Advantage: Strategic Retirement Planning for New Professionals 

         Kindle Version

             PDF Version

15. From Stay-at-Home to Successful Entrepreneurs: AI-Assisted Property Assessment Appeals

             Kindle Version            

             PDF Version

14. Mastering Assessment Ratio Challenges: A Comprehensive AI-Enhanced Guide for Appraisers and Property Tax Professionals

         Kindle Version               

              PDF Version

13. AI-Assisted Property Assessment Appeals: A Comprehensive Guide to Winning Your Case and Reducing Property Taxes with Advanced Strategies

            Kindle Version

            PDF Version

12. Automated Valuation Modeling (AVM) Made Easy: A Beginner's Guide with Interactive AI Chatbot ChatGPT and Real-World Data

            Kindle Version

            PDF Version

11. AI-Curated Wedding Menus: A Comprehensive Guide to Menu Planning and Cost Management

            Kindle Version

            PDF Version

10. The AI Revolution: Reshaping the Future of Work

            Kindle Version

            PDF Version

9. AI Revolutionizing Real Estate: Exploring Case Shiller Index for Smart Predictions

            Kindle Version

            PDF Version

8. AI Investing 101: A Comprehensive Guide for New Investors in the Stock Market

            Kindle Version

            PDF Version

7. Revolutionizing Data Analysis and Modeling with AI: A Hands-On Guide

            Kindle Version

            PDF Version

6. AI Unleashed: Mastering the Art of Investing in Magnificent Seven Bellwether Stocks

            Kindle Version

            PDF Version

5. Mastering the Stock Market with AI: Advanced Analysis and Strategic Techniques

            Kindle Version

            PDF Version

4. The Conversational AI Revolution: How ChatGPT and Bard Are Changing the Way We Communicate

            Kindle Version

            PDF Version

3. The Future of Housing: A Guide to AI-Powered Real Estate Solutions

            Kindle Version

            PDF Version

2. How to Use AI Chatbot Bard to Master Data Analysis and Modeling

            Kindle Version

            PDF Version

1. Conversations with ChatGPT: Exploring the Future of Humanity (Updated 2.0 is available)

            Kindle Version 

            PDF Version


Holdout Testing – Validating Model Stability and Residual Independence

Session 8 of the Mass Appraisal Modeling series is now live. In one-step CAMA environments, the finished model writes Just Values directly...