Time-varying volatility spillover of foreign exchange rate in three Asian markets: Based on DCC-GARCH approach
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This empirical analysis endeavors to examine the return volatility, co volatility and spillover impact of Australian dollar, Canadian dollar, Japanese yen, and Swiss franc in pertinent Asian economies such as India, Malaysia, and Singapore, by using the variance decomposition and GARCH-DCC techniques with the help of daily time series data from five years from 2012 to 2019. The result of GARCH-DCC analysis shows the evidence of ARCH and GARCH effect on all the tradable currencies, in the foreign exchange markets of above countries. The consequence of volatility spillover proves that, the Australian dollar is a net transmitter of volatility while the Canadian dollar is a net receiver of volatility in the Indian foreign exchange market. As per as Malaysian and Singapore’s foreign exchange market is concerned it can be inferred that Japanese yen is dominant currency in Malaysian market while Swiss franc is relevant in Singapore’s exchange market. These outcomes have vital ramifications that financial organizer should consider in recurrence volatility of tradable currencies of above foreign exchange market to forestall the financial risk.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.039 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it