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Peter Va­pora­kis

Research Assistant

Subjects
Macroeconomics Economics Financial institutions Finance Interest rates Securities

Primary research areas

Sub­ject­ive be­liefs
I in­vest­ig­ate how in­vestors form ex­pect¬a¬tions about the mac­roe­conomy and fin­an­cial mar­kets. I fo­cus on wheth­er in­vestors de­vi­ate from hav­ing full in­form­a­tion ra­tion­al ex­pect­a­tions and how er­rors in be­liefs about the mac­roe­conomy trans­mit to as­set prices.
Con­sump­tion-based as­set pri­cing
I ana­lyse to what ex­tent fin­an­cial as­set prices re­flect how much an as­set is ex­posed to mac­roe­co­nom­ic risks, fo­cus­ing on bond and equity mar­kets.
Mon­et­ary eco­nom­ics
I work on how mon­et­ary policy af­fect the eco­nomy through fin­an­cial mar­kets.

Un­der­stand­ing how be­liefs af­fect fin­an­cial mar­kets

The macroeconomy and financial markets

My research explores how the broader economy and financial markets are connected. I’m especially interest in how the macroeconomy affect stock prices, and what happens to financial markets when investors deviate from having rational expectations about the macroeconomy.

Hidden forces behind markets

Much like dark matter in physics, the economy and prices on financial assets are driven by forces that can’t be directly observed. We can only hope to detect these forces by how they influences things we can observe. In physics terms, macroeconomic and financial variables are shaped by “dark matter” that reveals itself only through its gravitational pull on observable data. I study how financial markets react to these unseen trends - and how people misjudge them.  

Inflation, economic activity and interest rates are influenced by slow-moving, unobserved trends. Making accurate forecasts of these variables is therefore  nearly impossible. My research shows how financial markets are shaped by distorted beliefs that stems from errors in detecting these unobservable forces. This helps investors identify where their forecasts go wrong.

In theory, stocks that are more sensitive to economic conditions should offer higher returns. But when we test this idea using real-world data it doesn’t hold. In response, economists have built more complex models that include factors we can’t observe directly. To these models, we rely on “proxies” for the hidden variables.  If those proxies are wrong, our tests give misleading results. My work shows when and why this happens, helping investors choose assets that are better protected against economic booms and busts.  

Recent research projects

How ‘Bad’ is Con­sump­tion Based As­set Pri­cing?

We study the bi­ases that arise in tests of as­set pri­cing mod­els and shows that proxy­ing for the re­turns on wealth via the re­turn on mar­ket renders tests mean­ing­less. We fur­ther re­vis­it the em­pir­ic­al per­form­ance of ef­forts taken at im­prov­ing the con­sump­tion-based mod­el.

Sub­ject­ive Trend Be­liefs

We link ex­pect­a­tions about mon­et­ary policy to bond re­turn pre­dict­ab­il­ity via er­rors in the trend com­pon­ent of in­terest rates.

Com­mon be­lief dis­tor­tions in stocks and bonds

This pa­per links be­lief dis­tor­tions about short-term in­terest rates to dis­tor­tions in equity mar­ket be­liefs. De­vi­ations from full in­foma­tion ra­tion­al ex­pect­a­tions in the risk-free yield curve propag­ate to equity mar­kets.