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Record W3029993741 · doi:10.25911/5eccf07edbc4d

Essays in Empirical Asset Pricing

2020· dissertation· en· W3029993741 on OpenAlexaboutno aff
Kate McKinnon

Bibliographic record

VenueANU Open Research (Australian National University) · 2020
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsnot available
FundersUniversity of Warwick
KeywordsCapital asset pricing modelFinancial economicsEconomicsBusiness

Abstract

fetched live from OpenAlex

This thesis is a collection of three self-contained chapters applying empirical methods to explore international asset return comovement, the nature of cross-asset market spillovers, and the drivers of asset prices. The first chapter explores the extent of bidirectional linkages between currency returns and country-specific commodity price index returns for a set of large commodity exporting countries comprising Australia, Canada and New Zealand. Results show that a large portion of variation in both currency and commodity price returns is driven by shocks that are common across all markets and countries. For each category of returns, market specific shocks are also important. The results do not show evidence of significant cross-market impacts in either direction. However, when the model of currency and commodity returns is extended to include the countries' equity markets feedback between all three markets become apparent. The results provide evidence of spillovers from the commodity market to the currency returns, which supports the classification of the exchange rates of these countries as `commodity currencies'. These spillovers became more prevalent since the onset of the mid 2000s resource boom. Spillovers from the currency market to commodity prices have a relatively small but significant impact, suggesting the countries have may some degree of market pricing power on a collective basis. Spillovers from the equity market to the Australian and Canadian exchange rate returns and to Australian and Canadian commodity returns are relatively large, though there is evidence that this channel has diminished over time. The magnitude of the commodity market spillover to the equity returns of the three countries grows over time. The currency market spillover to the equity market is significant but relatively small. The second chapter explores how the interaction between commodity, currency and equity market differs for countries classified as significant commodity exporters compared to a sample of OECD counterparts by examining both the size and direction of cross-market spillovers. There has been a large amount of research characterising the relationship between currency and equity returns. A relatively recent proposition focuses on linkages forged by the behaviour of optimising international investors; specifically predicting that currency and equity returns correlations are negative due to portfolio rebalancing activities. Previous empirical evidence appearing to support this mechanism has not been extended to large commodity exporting countries and it is suggested the interruption may be due to the impact of the commodity market on the equity -- currency return relationship. However, the results obtained do not support the portfolio rebalancing mechanism for either group of countries. In addition, the results suggest that there are large spillover effects from the commodity market to the currency and equity markets of the group of other OECD countries as well as the group of large commodity exporters. The third chapter examines the determinants of currency, equity, bond and house price returns across a set of 9 OECD countries. The results show that there is a significant component in asset return volatility that is common across countries and asset markets. Bond and equity markets are found to be especially connected internationally. The impact of policy variables, per capita consumption, labour productivity, commodity prices and macroeconomic sentiment on asset prices is assessed in order to draw inferences about the variables that drive cross-country asset market connections. Results demonstrate that commonalities in productivity growth, changes in consumer and business sentiment and fiscal policy variables across countries are important channels of international asset price linkages. Commodity price movements appear to play a role in generating asset market linkages within countries.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.731
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.205
GPT teacher head0.386
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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