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Record W7029198493

IW Financial Expert Survey: Third Quarter 2018

2018· other· en· W7029198493 on OpenAlexaboutno aff

Bibliographic record

VenueEconstor (Econstor) · 2018
Typeother
Languageen
FieldMedicine
TopicBiomedical and Chemical Research
Canadian institutionsnot available
Fundersnot available
KeywordsInterest rateYield curveQuarter (Canadian coin)Depreciation (economics)Monetary policyStock (firearms)Yield (engineering)Stock marketFinancial marketMaturity (psychological)
DOInot available

Abstract

fetched live from OpenAlex

The experts of the IW Financial Expert Survey predict a steeper yield curve with a larger increase in long-term than in short-term interest rates by the end of 2018. Moreover, the average forecasts indicate higher stock market indices, a mild depreciation of the Euro vis-à-vis the US-Dollar, but a larger drop in oil prices by the end of the fourth quarter of 2018. However, despite the expectation of higher interest rates, the short-term interest rate is predicted to remain in negative territory. The 3-month Euribor is, on average, expected to reach -0.31 percent at the end of the fourth quarter of 2018, while the yield on German government bonds with 10-year maturity is expected to reach 0.75 percent by then. Stock markets are, on average, expected to increase by 6.8 percent (Stoxx 50) and 9.4 percent (DAX 30) until the end of the year 2018. During that same period, the experts predict a mild depreciation of the Euro by 0.89 percent vis-à-vis the US Dollar, while oil prices are expected to drop by 9.0 percent. The expectation of an increase in the long rate and a slight increase in the short rate, together with the expected delayed monetary tightening of the ECB, hint at a financial market outlook characterised by a cautious approach to monetary normalisation. In this cautious approach, the ECB lets the market determine the first increases in long-term interest rates before it stops intervening at the long end of the yield curve, while keeping the short end of the yield curve lower. This cautious approach to monetary policy normalization is reflected in the projection of the yield curve. Moreover, the experts expect that the development of the Euro and the development of oil prices as well as the development of the stock market will support the ECB's cautious approach to monetary normalization instead of forcing a faster exit from low interest rates. Each quarter we ask the participants alternating questions on current topics. At this time, we were interested in their opinion on the proposed Euro area reforms. The majority of the surveyed experts is of the opinion that a European monetary fund is needed in the Euro area. Moreover, a majority of the same size thinks that macroprudential policies are worthwhile for stabilizing the Euro area. In addition to that, the same majority sees the need for insolvency proce-dures for states. A small number of experts only sees a European finance minister and the introduction of sovereign-bond-backed securities as worthwhile. These proposals have the highest number of experts who think of them as counter-productive. The evaluation of the forecasting performance of the latest forecasts yielded the result that Deutsche Bank performed best in predicting trends in the long-term ranking, which covers all forecasts from March 2015 to March 2018. The experts of Deutsche Bank also performed best in the short-term ranking, which covers the surveys from December 2017 and March 2018 for the 3-months ahead prediction and the survey for December 2017 for the 6-month forecasts. When it comes to point prediction, in the long-term evaluation of the period running from March 2015 to March 2018, the experts of National-Bank performed best in predicting all indicators, while the Commerzbank experts produced the most precise point forecasts for all indicators for the short-term evaluation period.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.074
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0930.019

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 head0.025
GPT teacher head0.296
Teacher spread0.271 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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