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Mehmet Bayraktar

Mehmet Bayraktar

Head of Multi Asset Class Research

As Head of Multi-Asset Class Research, Mehmet is responsible for driving the research agenda for MSCI’s multi-asset class portfolio and risk management analytics. A managing director, Mehmet previously was Head of Research & Chief Economist for the largest asset management firm in Turkey, Is Asset Management. Mehmet received his MBA from University of Chicago and his MSc in Finance & Economics from London School of Economics. He graduated with a B.A. in Economics from Bogazici University in Istanbul.

Research and Insights

Articles by Mehmet Bayraktar

    Are Your Factors Aligned?

    Research Report | Mar 10, 2016 | Dimitris Melas , Leon Roisenberg , Mehmet Bayraktar

    Many institutional investors develop proprietary return forecasting models, but use third-party/alternative models such as the MSCI Global Equity Total Market Model to measure risk and transaction costs. While there may be a significant overlap between the factors used in alpha and risk models, at times they may be misaligned. For managers who optimize their portfolios, the optimizer will tend to amplify the component of alpha that is not aligned with the risk model; this may lead to...

    Are Your Factors Aligned?

    Blog | Mar 10, 2016 | Mehmet Bayraktar

    Many institutional investors develop proprietary return forecasting models, but use third-party/alternative models to measure risk and transaction costs.

    Scenarios, Stress Tests and Strategies for 2016

    Research Report | Jan 19, 2016 | Raghu Suryanarayanan , Thomas Verbraken , Jesse Phillips , Roman Kouzmenko , Carlo Acerbi , Jahiz Barlas , Mehmet Bayraktar , Andrei Morozov , Remy Briand

    Heading into 2016, MSCI examined 12 stress points globally to be used in quantifying the effect on portfolios of a range of shifts in markets, liquidity and the macroeconomy. These stress points include the prospect of additional interest-rate hikes by the Federal Reserve, weakness in the eurozone and a deceleration in Chinese economic growth.

    Research Spotlight - Lost in the Crowd? Identifying and Measuring Crowded Strategies and Trades

    Research Report | Jun 26, 2015 | Stuart Doole , Stan Radchenko , Mehmet Bayraktar , Altaf Kassam

    The “quant meltdown” of 2007 and the subsequent global financial crisis highlighted the risks of crowded investment strategies. The recent growth of “smart beta” indexes and their use in ETFs has added to concerns about crowding. In this Research Spotlight, we explore the risks posed by crowded strategies and explain how the MSCI Crowding Scorecard enables asset managers to assess these risks as they exist in today’s markets. The Scorecard employs four metrics...

    Research Insight - Lost in the Crowd? Identifying and Measuring Crowded Strategies and Trades

    Research Report | Jun 22, 2015 | Stuart Doole , Stan Radchenko , Mehmet Bayraktar , Altaf Kassam

    AUTHORS: Mehmet K. Bayraktar, Stuart Doole, Altaf Kassam, Stan RadchenkoThe “quant meltdown” of August 2007 and the subsequent unfolding of the global financial crisis highlighted the risks of crowded investment strategies. The rapid growth of smart beta indexes and their use in ETFs has added to the need for scrutiny. In this Research Insight, we propose a set of four key metrics (our “Crowding Scorecard”) for monitoring and detecting the crowding risk of any...

    Using Systematic Equity Strategies to Build Better Portfolios

    Blog | Apr 23, 2015 | Mehmet Bayraktar

    Systematic Equity Strategies, when represented as factors in risk models, allow investment managers to better monitor the sources of risk and return in equity portfolios. We believe that they also improve forecast accuracy and help construction of portfolios that tilt towards (or away from) these strategies, which are rules-based or computer-based implementations.

    U.S. Market Brief - Momentum Strategies Outperformed in a Volatile Month

    Blog | Feb 2, 2015 | Mehmet Bayraktar

    January saw the return of volatility to the U.S. equity market. A confluence of factors led to this uncertainty: Investors were faced with the influence of a stronger dollar and the effect of lower oil prices on corporate earnings growth.

    A Review of Recent Mutual Fund Active Performance - July 2014

    Research Report | Jul 31, 2014 | Stan Radchenko , Mehmet Bayraktar

    Actively managed large cap mutual funds have significantly underperformed their benchmarks from March 1 through April 30 this year, which has raised questions among investors since this happened during a flat stock market with volatility levels at historically low levels. In this paper, we demonstrate the significance of this recent performance, measure mutual fund tilts on investment styles and analyze the impact of these styles by calculating contributions of tilts to the performance of...

    Market Spin Cycle - The Rotation Continues...

    Research Report | Jul 14, 2014 | Ting Fang , Mehmet Bayraktar , Stan Radchenko

    In "Market Spin-cycle: Uncovering Style and Sector Rotation in a Flat Market", we investigated the sector and investment style rotations in the US market from March 1st through May 8th, 2014. In particular, we identified declining performance in growth-oriented styles associated with risk-taking behavior, such as Beta, Growth, and Momentum, with improving performance in Value, Profitability, and Size suggesting rotation in investment styles.In this follow-up paper, we extend this...

    The Roots of Active Managers' Underperformance in March and April

    Blog | Jul 7, 2014 | Mehmet Bayraktar

    March and April of this year saw one of the worst periods of active performance over the past 10 years for actively managed portfolios. And this happened, despite a flat stock market and historically low volatility levels.

    Model Insight - Barra South Africa Equity Model (ZAE4) Empirical Notes - June 2014

    Research Report | Jun 12, 2014 | Jun Wang , Mehmet Bayraktar , Jay Yao

    This Model Insight summarizes the methodology and empirical results for the fourth-generation Barra South Africa Equity Model (ZAE4). This paper includes extensive information on factor structure, commentary on the performance of select factors, an analysis of the explanatory power of the model, and an examination of its effectiveness in portfolio construction using minimum volatility and index tracking portfolios. It also includes a side-by-side comparison of the forecasting accuracy and...

    The Market Spin Cycle: Uncovering Style and Sector Rotation in a Flat Market

    Research Report | May 23, 2014 | Philippe Durand , Stan Radchenko , Mehmet Bayraktar , Vikas Kalra

    Recent U.S. equity market performance, driven by a significant decline in glamour (high-growth, high-momentum) names, has attracted a lot of attention from market analysts. By now it is well publicized that, despite the range-bound performance of the US equity market since March, there have been significant differences among the performance of various sectors of the economy.We contribute to this discussion by focusing on what we view as a rotation in investment styles. This rotation has been...

    Research Insight - Introducing the Seasonality Factor - March 2014

    Research Report | Mar 12, 2014 | Stan Radchenko , Nicolas Meng , Igor Mashtaler , Mehmet Bayraktar

    This Research Insight, second in a series, introduces the Seasonality factor in our equity models; this factor was identified as part of MSCI's Systematic Equity Strategies (SES) research program. Seasonal behavior of stock returns is widely discussed in finance literature. The most prominent is the "January Effect," where prices tend to rise during January after stock sell-offs in December. In this paper, we examine how the SES Seasonality factor identifies seasonal pricing patterns for US...

    Model Insight - The Barra Emerging Markets Model Empirical Notes - February 2014

    Research Report | Feb 25, 2014 | Andrei Morozov , Paul Ward , Imre Balint , Mehmet Bayraktar , Laszlo Borda

    This Model Insight provides empirical results for the new Barra Emerging Markets Model, including detailed information on the structure, the performance, and the explanatory power of the factors. Furthermore, these notes also include backtesting results and a thorough side-by-side comparison of the forecasting accuracy of the new Emerging Markets Model and the Global Equity Model (GEM3).

    Research Insight - Introducing the Prospect Factor - December 2013

    Research Report | Dec 5, 2013 | Stan Radchenko , Nicolas Meng , Igor Mashtaler , Mehmet Bayraktar

    In this Research Insight, we introduce the Prospect factor. Systematic implementation of Prospect theory may be thought of as a contrarian investment strategy that takes long positions in stocks with poor historical performance and short positions in stocks with historical good performance. We find that the Prospect factor is significant in explaining risk and return characteristics of Japanese and US securities. The Prospect factor was identified as part of our Systematic Equity Strategies...

    Model Insight - The Barra US Small Cap Equity Model Empirical Notes - December 2013

    Research Report | Dec 4, 2013 | Nicolas Meng , Mehmet Bayraktar , Igor Mashtaler

    This Model Insight provides empirical results for the new Barra US Small Cap Model, including detailed information on the structure, the performance, and the explanatory power of the factors. Furthermore, these notes also include backtesting results and a thorough side-by-side comparison of the forecasting accuracy of the new model and its predecessor.

    The Barra US Sector Equity Model Methodology and Empirical Notes

    Research Report | Dec 4, 2013 | Stan Radchenko , Mehmet Bayraktar

    This Model Insight explains MSCI's motivation for building the Barra US Sector Equity Models, describes the methodology and factor structure, and provides empirical results for the US Sector model family, which includes 10 individual sector models and a fully integrated model.

    Model Insight - Barra Korea Equity Model (KRE3) Empirical Notes - November 2013

    Research Report | Nov 1, 2013 | Jun Wang , Jay Yao , Mehmet Bayraktar

    This Model Insight provides empirical results for the new Barra Korea Equity Model (KRE3), including detailed information about the structure, the performance, and the explanatory power of the factors. Furthermore, these notes also include backtesting results and a side-by-side comparison of the forecasting accuracy of the KRE3 Model and the KRE2 Model, its predecessor.

    Research Insight - Employing Systematic Equity Strategies - June 2013

    Research Report | Jun 19, 2013 | Kurt Winkelmann , Peter Zangari , Mehmet Bayraktar , Stan Radchenko

    In this Research Insight, we introduce “Systematic Equity Strategies” (SES), which refers to a rules-based implementation of investment strategies and anomalies.  Our research finds that SES, when used as factors in risk models, can help predict both expected and abnormal stock returns, thus improving forecast accuracy. Some Systematic Equity Strategies may lead to crowding risk as large pools of capital pursue shared strategies; by using SES factors, investors can monitor...

    Systematic Equity Strategies: A Test Case Using Empirical Results from the Japan Equity Market

    Research Report | Jun 19, 2013 | Jun Wang , Jay Yao , Nicolas Meng , Mehmet Bayraktar , Igor Mashtaler , Jyh-huei Lee

    In an introductory paper, we explained Systematic Equity Strategies (SES) and how they can be used as factors in a risk model.  In this paper, we use data from the Japan equity markets to define seven new SES factors and study their empirical behavior.  Our findings illustrate the important role that these factors play in portfolio construction and risk management. Our study also shows problems associated with omitting these factors from a risk model, and explain why models that...

    Model Insight - Barra Japan Equity Model (JPE4) Empirical Notes - October 2013

    Research Report | Jun 18, 2013 | Jun Wang , Jay Yao , Mehmet Bayraktar , Igor Mashtaler , Nicolas Meng

    This Model Insight provides empirical results for the new Barra Japan Equity Model (JPE4), including detailed information on the structure, the performance, and the explanatory power of the factors. Furthermore, these notes also include backtesting results and a thorough side-by-side comparison of the forecasting accuracy of the JPE4 Model and the JPE3 Model, its predecessor.