100% tevredenheidsgarantie Direct beschikbaar na betaling Zowel online als in PDF Je zit nergens aan vast
logo-home
Summary Complete & Concise - Research Skills €5,99
In winkelwagen

Samenvatting

Summary Complete & Concise - Research Skills

2 beoordelingen
 208 keer bekeken  11 keer verkocht

*New* get it cheaper: . Complete & Concise summary of Research Skills, part of MSc Finance & Investments. The summary aims to cover 99% of theory as concise as possible. Perfect for use when practicing or revising for your exams or, in 2020, as source during the exam. It covers statistical theory f...

[Meer zien]
Laatste update van het document: 3 jaar geleden

Voorbeeld 2 van de 9  pagina's

  • 25 januari 2021
  • 25 januari 2021
  • 9
  • 2020/2021
  • Samenvatting
Alle documenten voor dit vak (4)

2  beoordelingen

review-writer-avatar

Door: Daanguldemond • 2 jaar geleden

review-writer-avatar

Door: bashilders • 3 jaar geleden

Writing was very unclear. This made the summary confusing and hard to follow.

reply-writer-avatar

Door: thomaskonings • 3 jaar geleden

Hi Bas, I'm sorry the writing was unclear, the aim of the summary is to be as concise as possible. Because of this, sometimes clarity is traded off for brevity. The summary assumes that you have actively taken part in the course and are familiar with the concepts, it is written to be a review of the course, not "first time" material.

avatar-seller
thomaskonings
Complete & Concise: Research Skills
By: Thomas Konings

Table of Contents
Part 1: Introduction and Data ................................................................................................................. 2
Part 2: Event Studies ............................................................................................................................... 3
Workshop 1 ............................................................................................................................................. 4
Part 3: Basic Regression Analysis ............................................................................................................ 5
Part 4: Advanced Regression Analysis: Interaction Terms & Panel Data................................................ 7
Part 5: Advanced Regression Analysis: Fama-MacBeth & Binary Choice ............................................... 8
Workshop 2 ............................................................................................................................................. 8
Appendix – What data issues look like ................................................................................................... 9
Heteroscedasticity .............................................................................................................................. 9
Autocorrelation ................................................................................................................................... 9
Multicollinearity .................................................................................................................................. 9




© Thomas Konings – 2021 All rights reserved. Reproduction and distribution are prohibited.
Sold through Stuvia 1

, Part 1: Introduction and Data
Cross-sectional: comparing multiple units at a given point in time
Time series: track on unit over time Panel: track multiple units over multiple time periods

Checking data: use summary statistics & graphs to assess data quality (mean, median, std.dev., min,
max, percentiles etc. + histograms). Compare summary stats to other studies with same data.

Check data issues: things that are just illogical (trade data on non-trading days), jumps etc.

Outliers: [note: in general, do not remove actual data, even if it’s an extreme value]
Transformation: can do log to pull towards mean, Winsorizing: replace extreme values with cutoff
values Truncating: delete extreme observations. Then: recalculate descriptive statistics

Missing data: unbalanced does not mean unusable. Do not interpolate data (introduces bias), do not
replace values by zero (unless missing is a proxy for zero). Do you need the control variable if it
leaves you with only 10% of your data?
𝑝𝑡 −𝑝(𝑡−1)
Prices: denoted p, with suffix t for the time period. Returns: 𝑹𝒕 = 𝑝𝑡−1
Note: returns over two periods is obtained by multiplying, returns are not additive

Log returns: continuously compounded returns, 𝑟𝑡 = ln(𝑝𝑡 ) − ln⁡(𝑝𝑡−1 ), these are additive across
periods. Difference is small for small returns (i.e. daily) → also works for adding portfolio weights
𝑝𝑡 +𝑑𝑡 −𝑝𝑡−1
Incorporating dividends: 𝑅𝑡 = (dt being dividend, paid before date t price)
𝑝𝑡−1
→ Dividend return: 𝑑𝑡 /𝑝𝑡−1 Excess returns: in excess of risk-free rate, or in excess of some other
portfolio (payoff of an arbitrage portfolio)

Returns are random, are not known in advance, they have a distribution, characterized by mean,
variance and higher moments (skewness/kurtosis), which are not observed only estimated.
Theories are about expected rather than average returns. In Finance, volatility = σ = sqrt(variance)

Portfolios can be equally-weighted (1/N), value-weighted (by market cap) or price-weighted (equal
number of stocks for each firm [Dow-Jones]). Scholars: portfolio sorts, then look at 10% (decile)
portfolios (e.g. 10% largest), can be equally-weighted or value-weighted.

Data organization: depends on type of data and analysis. Time series: variables in columns, dates in
rows. Cross-sectional: variables in columns, firms in rows. Panel: variables in columns, dates & firm
identifiers in rows. Note: keep firm identifiers and names, better for output (readability)
STATA Summary

Creates consistent time indicator: gen long month = month(date)
format month %tm

Optionally: xtset month (sets as time variable, allows lags)

Concert panel date long/wide: reshape
Note: type help [command] in Stata for docs

Merge: Single firm/month match merge 1:1 firm month using “dataset2.dta”
or Per month for all firms merge m:1 month using “dataset3.dta”

Append more data (rows): append using “additionalrows.dta”

If-statements: can slap these on the end of most commands, e.g. regress y x if x > 4
© Thomas Konings – 2021 All rights reserved. Reproduction and distribution are prohibited.
Sold through Stuvia 2

Voordelen van het kopen van samenvattingen bij Stuvia op een rij:

Verzekerd van kwaliteit door reviews

Verzekerd van kwaliteit door reviews

Stuvia-klanten hebben meer dan 700.000 samenvattingen beoordeeld. Zo weet je zeker dat je de beste documenten koopt!

Snel en makkelijk kopen

Snel en makkelijk kopen

Je betaalt supersnel en eenmalig met iDeal, creditcard of Stuvia-tegoed voor de samenvatting. Zonder lidmaatschap.

Focus op de essentie

Focus op de essentie

Samenvattingen worden geschreven voor en door anderen. Daarom zijn de samenvattingen altijd betrouwbaar en actueel. Zo kom je snel tot de kern!

Veelgestelde vragen

Wat krijg ik als ik dit document koop?

Je krijgt een PDF, die direct beschikbaar is na je aankoop. Het gekochte document is altijd, overal en oneindig toegankelijk via je profiel.

Tevredenheidsgarantie: hoe werkt dat?

Onze tevredenheidsgarantie zorgt ervoor dat je altijd een studiedocument vindt dat goed bij je past. Je vult een formulier in en onze klantenservice regelt de rest.

Van wie koop ik deze samenvatting?

Stuvia is een marktplaats, je koop dit document dus niet van ons, maar van verkoper thomaskonings. Stuvia faciliteert de betaling aan de verkoper.

Zit ik meteen vast aan een abonnement?

Nee, je koopt alleen deze samenvatting voor €5,99. Je zit daarna nergens aan vast.

Is Stuvia te vertrouwen?

4,6 sterren op Google & Trustpilot (+1000 reviews)

Afgelopen 30 dagen zijn er 52510 samenvattingen verkocht

Opgericht in 2010, al 14 jaar dé plek om samenvattingen te kopen

Start met verkopen
€5,99  11x  verkocht
  • (2)
In winkelwagen
Toegevoegd