Zeitschriftenartikel: „Safe haven“

1

Pearce, Lynne. „Safe haven“. Nursing Standard 18, Nr. 8 (05.11.2003): 63. http://dx.doi.org/10.7748/ns2003.11.18.8.63.c3491.

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2

Krekar, Karzan. „Safe haven“. Index on Censorship 27, Nr. 3 (Mai 1998): 64–65. http://dx.doi.org/10.1080/03064229808536354.

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3

Amacker, Christy L. „Safe Haven“. Journal of Veterans Studies 9, Nr. 3 (2023): 49–52. http://dx.doi.org/10.21061/jvs.v9i3.506.

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4

Gao, Chuang, Mark McGilchrist, Shahzad Mumtaz, Christopher Hall, Lesley Ann Anderson, John Zurowski, Sharon Gordon et al. „A National Network of Safe Havens: Scottish Perspective“. Journal of Medical Internet Research 24, Nr. 3 (09.03.2022): e31684. http://dx.doi.org/10.2196/31684.

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For over a decade, Scotland has implemented and operationalized a system of Safe Havens, which provides secure analytics platforms for researchers to access linked, deidentified electronic health records (EHRs) while managing the risk of unauthorized reidentification. In this paper, a perspective is provided on the state-of-the-art Scottish Safe Haven network, including its evolution, to define the key activities required to scale the Scottish Safe Haven network’s capability to facilitate research and health care improvement initiatives. A set of processes related to EHR data and their delivery in Scotland have been discussed. An interview with each Safe Haven was conducted to understand their services in detail, as well as their commonalities. The results show how Safe Havens in Scotland have protected privacy while facilitating the reuse of the EHR data. This study provides a common definition of a Safe Haven and promotes a consistent understanding among the Scottish Safe Haven network and the clinical and academic research community. We conclude by identifying areas where efficiencies across the network can be made to meet the needs of population-level studies at scale.

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5

Handley, Nicholas J. „Safe Haven Currencies“. CFA Digest 40, Nr. 4 (November 2010): 21–23. http://dx.doi.org/10.2469/dig.v40.n4.28.

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6

YAN, ELSIE, CATHERINE SO-KUM und TANG DANNII YEUNG. „No Safe Haven“. Trauma, Violence, & Abuse 3, Nr. 3 (Juli 2002): 167–80. http://dx.doi.org/10.1177/15248380020033001.

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7

Hornstein, Erica A., Michael S. Fanselow und Naomi I. Eisenberger. „A Safe Haven“. Psychological Science 27, Nr. 8 (19.07.2016): 1051–60. http://dx.doi.org/10.1177/0956797616646580.

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8

Han, Ju Hui Judy. „BEYOND SAFE HAVEN“. Critical Asian Studies 45, Nr. 4 (Dezember 2013): 533–60. http://dx.doi.org/10.1080/14672715.2013.851153.

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9

Drăjneanu, Teodora Georgiana. „Safe haven laws“. International Journal of Human Rights and Constitutional Studies 3, Nr. 3 (2015): 297. http://dx.doi.org/10.1504/ijhrcs.2015.072477.

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10

Ranaldo, Angelo, und Paul Söderlind. „Safe Haven Currencies*“. Review of Finance 14, Nr. 3 (08.03.2010): 385–407. http://dx.doi.org/10.1093/rof/rfq007.

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11

Harding, Andrew. „Safe Haven Laws“. Journal of Emergency Nursing 35, Nr. 4 (Juli 2009): 352–53. http://dx.doi.org/10.1016/j.jen.2009.01.011.

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12

Adiputri, Bio Labora, und Robiyanto Robiyanto. „Oil, Exchange Rate, and Dollar Index as Safe Haven in The Period Before and During Covid-19 Pandemic: Examination in Indonesian Capital Market“. JURNAL BISNIS STRATEGI 30, Nr. 1 (20.07.2021): 12–25. http://dx.doi.org/10.14710/jbs.30.1.12-25.

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Safe haven is an asset sought by investors, especially when market turmoil occurs. This study aimed to test the role of oil, exchange rate, and Dollar Index as safe havens for the Indonesian capital market in the period before and during the COVID-19 pandemic. Using QREQ and GARCH analysis technique, this study found that oil and exchange rates can be safe haven in the period before and during the COVID-19 pandemic. While the Dollar Index is only able to be a safe haven during COVID-19 pandemic. The results in this study can be considered by investors to choose safe haven instruments.

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13

Xie, Yao, Sang Baum Kang und Jialin Zhao. „Are Stablecoins Safe Havens for Traditional Cryptocurrencies? An Empirical Study during the COVID-19 Pandemic“. Applied Finance Letters 10 (01.03.2021): 2–9. http://dx.doi.org/10.24135/afl.v10i.342.

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We investigate whether stablecoins are safe havens for traditional cryptocurrencies with fresh evidence from the recent crisis period of the COVID-19 pandemic. Our results support the safe-haven properties of Tether for both before and during the pandemic. For Digix, a gold-backed stablecoin with relatively small market capitalization, we find a change in characteristics before and during the pandemic, but do not find statistically significant evidence for its safe-haven properties. Furthermore, we document that, when considering the economic benefits and costs of adding safe-haven assets into cryptocurrency portfolios, the one with Tether outperforms both a naked portfolio and the portfolio with a traditional safe-haven asset such as gold.

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Gunawan, Mudita, und Achmad Herlanto Anggono. „Cryptocurrency Safe Haven Property against Indonesian Stock Market During COVID-19“. Journal of Economics, Business, & Accountancy Ventura 24, Nr. 1 (30.07.2021): 121. http://dx.doi.org/10.14414/jebav.v24i1.2661.

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Safe-haven assets conserve their value or grow against another asset or portfolioduring market turmoil. Indonesian stock market, represented by the Jakarta composite index (JKSE), plunged in price because of COVID-19, pushing investors to look for safe-havens. The cryptocurrency began to be perceived as a store of value as indicated by the transaction volume increase; hence it was expected to be a safe haven asset. However, cryptocurrency’s high price volatility cast doubts on its store of value effectiveness, prompting inspection for its safe haven property as well. This research aimed to predict the assets' risk and return plus investigate whether cryptocurrency is safe haven assets against the Indonesian stock market during COVID- 19. Daily closing prices of JKSE, Bitcoin, Ethereum, Litecoin, and Ripple were used, then the GARCH model was implemented in the forecasting. DCC-GARCH model, followed by dummy variable regression, will be applied to the return data to evaluate the safe haven property. The prediction projected Bitcoin as the most profitable asset andRipple as the riskiest. The analysis and robustness test suggested that none of these cryptocurrencies were safe haven assets during the whole observation. This indicates that investors who intend to seek safe haven investments were advised against investing in these cryptocurrencies.

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Gunawan, Mudita, und Achmad Herlanto Anggono. „Cryptocurrency Safe Haven Property against Indonesian Stock Market During COVID-19“. Journal of Economics, Business, & Accountancy Ventura 24, Nr. 1 (30.07.2021): 121. http://dx.doi.org/10.14414/jebav.v24i1.2661.

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Safe-haven assets conserve their value or grow against another asset or portfolioduring market turmoil. Indonesian stock market, represented by the Jakarta composite index (JKSE), plunged in price because of COVID-19, pushing investors to look for safe-havens. The cryptocurrency began to be perceived as a store of value as indicated by the transaction volume increase; hence it was expected to be a safe haven asset. However, cryptocurrency’s high price volatility cast doubts on its store of value effectiveness, prompting inspection for its safe haven property as well. This research aimed to predict the assets' risk and return plus investigate whether cryptocurrency is safe haven assets against the Indonesian stock market during COVID- 19. Daily closing prices of JKSE, Bitcoin, Ethereum, Litecoin, and Ripple were used, then the GARCH model was implemented in the forecasting. DCC-GARCH model, followed by dummy variable regression, will be applied to the return data to evaluate the safe haven property. The prediction projected Bitcoin as the most profitable asset andRipple as the riskiest. The analysis and robustness test suggested that none of these cryptocurrencies were safe haven assets during the whole observation. This indicates that investors who intend to seek safe haven investments were advised against investing in these cryptocurrencies.

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16

Flynn, Michael. „Searching for safe haven“. Bulletin of the Atomic Scientists 58, Nr. 6 (01.11.2002): 22–25. http://dx.doi.org/10.2968/058006008.

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17

Greene, Warner C. „Denying HIV Safe Haven“. New England Journal of Medicine 334, Nr. 19 (09.05.1996): 1264–65. http://dx.doi.org/10.1056/nejm199605093341910.

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18

Flynn, Michael. „Searching for SAFE HAVEN“. Bulletin of the Atomic Scientists 58, Nr. 6 (November 2002): 22–25. http://dx.doi.org/10.1080/00963402.2002.11460619.

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19

Klingler, Sven, und David Lando. „Safe Haven CDS Premiums“. Review of Financial Studies 31, Nr. 5 (02.03.2018): 1856–95. http://dx.doi.org/10.1093/rfs/hhy021.

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20

Nigro, Mike. „The Ultimate Safe Haven“. Journal of Alternative Investments 23, Nr. 3 (09.12.2020): 10–13. http://dx.doi.org/10.3905/jai.2020.1.119.

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21

Kopyl, Kateryna Anatoliyevna, und John Byong-Tek Lee. „How safe are the safe haven assets?“ Financial Markets and Portfolio Management 30, Nr. 4 (November 2016): 453–82. http://dx.doi.org/10.1007/s11408-016-0277-5.

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22

Nasr, Adnen Ben, Matteo Bonato, Riza Demirer und Rangan Gupta. „Investor Sentiment and Crash Risk in Safe Havens“. Journal of Economics and Behavioral Studies 10, Nr. 6A (16.01.2019): 97–108. http://dx.doi.org/10.22610/jebs.v10i6a.2666.

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This study examines the relationship between investor sentiment and intraday return dynamics for safe haven assets, with a particular focus on crash risk in these assets. Examining intraday returns for a wide range of safe havens proposed in the literature, we find that shocks to investor sentiment have a significant effect on safest havens, while the sentiment is heterogeneous both in terms of its size and direction. While the strongest effects of sentiment shocks are observed in the case of Gold, Swiss Francs and Japanese Yen, interestingly, we find that oil stands out from the rest of the pack, responding negatively to sentiment shocks, suggesting that positive shocks to sentiment (i.e. high fear) increase crash risk for this asset. Our findings also point to intra-safe haven spillover effects, with oil exhibiting a markedly different pattern. Investment and hedging implications are discussed next.

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23

Karim, Sitara, Muhammad Abubakr Naeem, Nawazish Mirza und Jessica Paule-Vianez. „Quantifying the hedge and safe-haven properties of bond markets for cryptocurrency indices“. Journal of Risk Finance 23, Nr. 2 (14.01.2022): 191–205. http://dx.doi.org/10.1108/jrf-09-2021-0158.

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PurposeThis study quantified the hedge and safe haven features of bond markets for multiple cryptocurrency indices from June 2014 to April 2021 to highlight whether bond markets offer hedging facilities to uncertainty indices of cryptocurrencies.Design/methodology/approachThe authors employed the methodology of Baur and McDermott (2010) and AGDCC-GARCH model to measure the hedge and safe-haven characteristics of three bond markets (BBGT, SPGB and SKUK) for three uncertainty indexes of cryptocurrencies (UCRPR, UCRPO and ICEA).FindingsThe authors find that bond markets are neither hedge nor safe havens except for SKUK which is a safe haven investment for cryptocurrency indices and offers substantial diversification during the periods of economic fragility. In addition, the hedge effectiveness of SPGB outperforms other bonds during crisis periods and provides sufficient diversification potential for cryptocurrency indices.Practical implicationsThe findings are important for policymakers, regulatory bodies, financial firms and investors in assessing hedge and safe haven characteristics of bond markets against cryptocurrency indices.Originality/valueEmploying the novel methodology of AGDCC-GARCH with three different bond markets and three uncertainty indices of cryptocurrencies, the current study adds to the existing strand of literature in terms of quantifying hedge and safe-haven attributes of bond markets for cryptocurrency uncertainty indexes.

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Paule-Vianez, Jessica, Camilo Prado-Román und Raúl Gómez-Martínez. „Economic policy uncertainty and Bitcoin. Is Bitcoin a safe-haven asset?“ European Journal of Management and Business Economics 29, Nr. 3 (11.03.2020): 347–63. http://dx.doi.org/10.1108/ejmbe-07-2019-0116.

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PurposeThe goal of this work is to determine whether Bitcoin behaves as a safe-haven asset. In order to do so, the influence of Economic Policy Uncertainty (EPU) on Bitcoin returns and volatility was studied.Design/methodology/approachIt is evaluated whether, when compared with the evolution of EPU, Bitcoin's returns and volatility show behaviours typical of safe havens or rather, those of conventional speculative assets. When faced with an increase in EPU, safe havens – such as gold – can be expected to increase their returns and volatility, while conventional speculative assets will increase their volatility and reduce their returns. This study uses simple linear regression and quantile regression models on a daily data sample from 19 July 2010 to 11 April 2019, to analyse the influence of EPU on the returns and volatility of Bitcoin and gold.FindingsBitcoin's returns and volatility increase during more uncertain times, just like gold, showing that Bitcoin acts not only as a means of exchange but also shows characteristics of investment assets, specifically of safe havens. These findings provide useful information to investors by allowing Bitcoin to be considered as a tool to protect savings in times of economic uncertainty and to diversify portfolios.Originality/valueThis study complements and expands current research by aiming to answer the question of whether Bitcoin is a simple speculative asset or a safe haven. The most significant contribution is to show that Bitcoin is not a mere speculative asset but behaves like a safe haven.

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Zhang, Ying. „Safe Haven Currency Attribute of RMB“. Journal of Applied Economics and Policy Studies 2, Nr. 1 (23.01.2024): 12–15. http://dx.doi.org/10.54254/2977-5701/2/2024008.

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With the continuous progress of RMB internationalization, RMB has shown the attribute of safe haven currency. This paper discusses the exhibition of RMBs attribute of safe haven currency and the causes behind it in some special risk aversion periods recently by comparing RMB with other major currencies. The process of RMB internationalization has an important impact on the exhibition of RMBs attribute of safe haven currency. Although convertibility and high liquidity are necessary conditions for a safe haven currency, we also see that in some special circumstances, proper control is helpful for enhancing the safe haven currency attribute of RMB.

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Wright, Paul H. „Safe Haven for a Time“. Dialogue: A Journal of Mormon Thought 40, Nr. 2 (01.07.2007): 182–85. http://dx.doi.org/10.5406/dialjmormthou.40.2.0182.

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27

Joyce, Janine. „Bildung, Meditation and Safe Haven“. IOSR Journal of Humanities and Social Science 19, Nr. 7 (2014): 46–61. http://dx.doi.org/10.9790/0837-19754661.

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28

Selwyn, Neil. „A Safe Haven for Misbehaving?“ Social Science Computer Review 26, Nr. 4 (18.12.2007): 446–65. http://dx.doi.org/10.1177/0894439307313515.

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29

Walters, William. „Secure borders, safe haven, domopolitics“. Citizenship Studies 8, Nr. 3 (September 2004): 237–60. http://dx.doi.org/10.1080/1362102042000256989.

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Nusinovich, Yevgeniya. „No safe haven for metastases“. Science 356, Nr. 6340 (25.05.2017): 816.9–817. http://dx.doi.org/10.1126/science.356.6340.816-i.

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Vignieri, Sacha. „No longer a safe haven“. Science 362, Nr. 6415 (08.11.2018): 651.9–652. http://dx.doi.org/10.1126/science.362.6415.651-i.

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Mezher, Andrew W., Curtis A. McKnight und Jason P. Caplan. „Buspirone Abuse: No Safe Haven“. Psychosomatics 60, Nr. 5 (September 2019): 534–35. http://dx.doi.org/10.1016/j.psym.2018.12.008.

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D’Ecclesia, Rita Laura, und Vera Jotanovic. „Are diamonds a safe haven?“ Review of Managerial Science 12, Nr. 4 (29.03.2017): 937–68. http://dx.doi.org/10.1007/s11846-017-0234-3.

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Palao, Fernando, und Ángel Pardo. „Carbon and safe-haven flows“. Green Finance 4, Nr. 4 (2022): 474–91. http://dx.doi.org/10.3934/gf.2022023.

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<abstract> <p>This paper explores the role of European Union Allowances (EUAs) as a safe haven for a range of assets and analyses the effect of safe-haven flows on the European carbon futures market. In particular, we demonstrate that EUAs can be considered a refuge against fluctuations in corporate bonds, gold and volatility-related assets in periods of market turmoil. Furthermore, we have shown that extremely bearish and bullish movements in those assets for which the EUA acts as a safe haven induce excess volatility in carbon markets, higher carbon trading volume and larger than normal EUA bid-ask spreads. These findings support the idea that some traders, by considering carbon futures as a refuge asset, induce safe-haven flows into the carbon market. The presence of these flows provides additional insights into the financialisation of the European carbon futures market.</p> </abstract>

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Daily, Nancy Lee, Letitia Price Swain, Mary Huysman und Cynthia Tarrant. „America’s Consumerocracy: No Safe Haven“. English Journal 99, Nr. 3 (01.01.2010): 37–41. http://dx.doi.org/10.58680/ej20109518.

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Moore, K. „M/V TONG CHENG: SAFE ASSURANCE, SAFE HAVEN, SAFE RESULTS“. International Oil Spill Conference Proceedings 2008, Nr. 1 (01.05.2008): 1051–55. http://dx.doi.org/10.7901/2169-3358-2008-1-1051.

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ABSTRACT On January 12, 2007 the MIV TONG CHENG, a 485 ft. Chinese flag break bulk vessel loaded with cargo and 130,000 gallons of oil, en route to the Panama Canal, notified Coast Guard Sector Honolulu that it had suffered damage to its #2 cargo hold and the hold was full of seawater. Located 700 miles from the nearest port (Honolulu), the vessel'S pumps were unable to keep up with the flooding, and with 26 personnel on board, the vessel advised it was diverting to Honolulu for emergency repairs. As the vessel proceeded toward Honolulu, its decreasing speed, the presence of two additional cargo ships in escort and the discovery of an oil sheen trailing the vessel raised significant concerns over the threat this posed to Hawaii. At stake in allowing the vessel a safe haven were the pristine shorelines of the Hawaiian Islands and potential crippling of the port'S vital lifeline to commercial marine traffic, its only source of sustenance. A myriad of issues had to be addressed as the vessel made preparations to come into Honolulu Harbor and a multi-agency, international Unified Command was established. The Unified Command, using the Incident Command System, managed the various contingencies from search and rescue of the crew if the ship were lost, to the potential discharge of 130,000 gallons of fuel. A risk-based decision process was employed to weigh the off-shore response challenges against the near-shore risks while taking into account the remoteness and sensitive marine environment of the Hawaiian Islands. This paper provides insight into the dynamic and complex response and the incident management teams decisions regarding allowing this vessel in distress to enter a critical and environmentally sensitive port. The vessel was successfully repaired and allowed to depart Hawaii. This case is a classic example of proper decision making and risk balancing for a critical safe refuge request.

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Janani Sri S., Parthajit Kayal und G. Balasubramanian. „Can Equity be Safe-haven for Investment?“ Journal of Emerging Market Finance 21, Nr. 1 (23.01.2022): 32–63. http://dx.doi.org/10.1177/09726527211068411.

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Popular investment choices such as fixed income, gold, and real estate have generated low returns over long horizons. Equity seems to have performed much better despite its inherent risk. Although, investors prefer safe-haven assets, they are increasingly moving to equities in search for better returns. We consider whether equity could be a safe-haven investment if chosen from quality stocks’ basket. We examine the safe-haven and hedging properties of the Nifty-50 constituent stocks over the period 2008–2020. To address this, we employ copula-based framework to model the dependence structure between stocks and five indices. We distinguish between safe-haven attributes and hedging features of the individual stocks. We show that the safe-haven properties of the Nifty-50 listed stocks are not as concentrated as gold but they show much low co-movement with the market. We call them pseudo–safe-haven as they are the safe-bets for investors seeking relatively safe-haven assets with impressive returns. JEL Codes: G11, G12, G15

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Hsu, Shu-Han. „Investigating the Co-Volatility Spillover Effects between Cryptocurrencies and Currencies at Different Natures of Risk Events“. Journal of Risk and Financial Management 15, Nr. 9 (24.08.2022): 372. http://dx.doi.org/10.3390/jrfm15090372.

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This paper examines and confirms the varying volatility of the relationship between cryptocurrency and currency markets at different time periods, such as when the market encountered multiple risk events including the US–China trade war, COVID-19, and the Russian–Ukraine war. We employ the Diagonal BEKK model and find that the co-volatility spillover effects between the returns of cryptocurrencies and currencies, with the exception of Tether and the U.S. dollar index, evolved significantly. Furthermore, the co-volatility spillover effects between cryptocurrencies and EUR have the largest effects and fluctuations. Large-cap cryptocurrencies (Bitcoin and Ethereum) have greater co-volatility spillover effects between them and currencies. Regarding the ability of cryptocurrencies to act as safe-haven for currencies, we observe that Bitcoin, Ethereum, and Tether served as safe-havens during the US–China trade war, and Bitcoin was a safe-haven during COVID-19. During the 2022 Russian–Ukraine war, Bitcoin and Tether were safe-havens. Interestingly, our findings point out that Bitcoin provides a more consistent safe-haven function for currency markets. Overall, by including multiple global risk events and a comprehensive dataset, the results support our conjecture (and earlier studies) indicating that the capabilities of cryptocurrency are time-varying and related to market status and risk events with different natures.

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Daştan, Erhan, und Hüseyin Dagli. „Testing Safe Haven Assets for Türkiye in the Covid-19 Period“. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi 19, Nr. 1 (01.04.2024): 181–98. http://dx.doi.org/10.17153/oguiibf.1336982.

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The aim of this study is to examine whether the assets known as safe-haven assets during crises fulfill these qualities for equity investors in Turkey during the Covid-19 pandemic. According to the results obtained under the assumption of GJR-GARCH (1,1) error terms, no asset has shown safe-haven characteristics against the stock market. However, when the BIST100 index depreciates by 5%, Ethereum, silver and Government Bonds show strong safe-haven characteristics, US dollar and Euro show weak safe-haven characteristics. When the BIST100 index depreciates by 2.5%, Bitcoin, gold and DJIMTR show weak safe haven asset characteristics. If BIST100 depreciates by 1%, gold and Government Bonds show strong safe-haven characteristics, and Bitcoin, Ethereum, Silver, the US dollar and Euro show weak safe-haven characteristics.

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Baur, Dirk G., und Kristoffer J. Glover. „The Destruction of a Safe Haven Asset?“ Applied Finance Letters 1, Nr. 1 (20.07.2016): 8. http://dx.doi.org/10.24135/afl.v1i1.5.

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Gold has been a store of value for centuries and a safe haven for investors in the pastdecades. However, the increased investment in gold for speculative or hedging purposeshas changed the safe haven property. We demonstrate theoretically and empiricallythat investor behaviour has the potential to destroy the safe haven property of gold. Theresults suggest that an asset cannot be both an investment asset and an effective safehaven asset. This finding has important implications for financial stability since assets aremore likely to exhibit excess comovement and volatility in the absence of a safe haven.

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Huang, Wei, und Meng-Shiuh Chang. „Gold and Government Bonds as Safe-Haven Assets Against Stock Market Turbulence in China“. SAGE Open 11, Nr. 1 (Januar 2021): 215824402199065. http://dx.doi.org/10.1177/2158244021990655.

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We examine whether gold and China’s government bonds are safe-haven assets against the turbulence of the Shanghai Stock Exchange Composite Index by employing vine copula models during the 2003 to 2015 period. We find that either bonds or gold can be a weak safe haven but only gold can be a strong safe haven. Our simultaneous analysis advises against a joint safe-haven strategy of gold and bonds, given the high- to low-tail correlation. This result highlights an investment strategy of using a single safe-haven asset against the Chinese stock market turbulences.

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Isabella, Maria, und Yudith Dyah Hapsari. „ANALISIS PERANAN EMAS DAN OBLIGASI PEMERINTAH INDONESIA SEBAGAI SAFE HAVEN PADA PERIODE 2018 – 2020“. Prosiding Working Papers Series In Management 14, Nr. 2 (25.11.2022): 544–56. http://dx.doi.org/10.25170/wpm.v14i2.4214.

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This research was conducted to determined the role of gold and Indonesian government bonds as safe havens in Indonesia for 2018 – 2020. The tests in this study used the quantile regression method based on the results of the correlation between gold returns and government bond returns with returns stocks with index LQ45. The two instruments in this study will be tested in unfavorable market conditions or a bear market. . The data used in this study uses monthly data for the period 2018 to 2020. The results of this study indicate that gold acts as a safe haven in 2019. Meanwhile, government bonds do not act as a safe haven during the 2018 – 2020.

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Hwang, Y. „Hedge and Safe-Haven of Gold“. Journal of Industrial Economics and Business 30, Nr. 1 (28.02.2017): 217. http://dx.doi.org/10.22558/jieb.2017.02.30.1.217.

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Carrello, Clory, Peta H. Carr, Jennifer A. Coleman und Catherine S. Kolomyjec. „Operation Safe Haven: the Leeuwin experience“. Medical Journal of Australia 172, Nr. 10 (Mai 2000): 502–11. http://dx.doi.org/10.5694/j.1326-5377.2000.tb124079.x.

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45

Izycki, Kate. „A safe haven for asylum seekers“. Mental Health Practice 4, Nr. 6 (März 2001): 12–15. http://dx.doi.org/10.7748/mhp.4.6.12.s15.

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Trost, Jennifer. „From Juvenile Court to Safe Haven“. Criminal Justice Review 38, Nr. 3 (14.02.2013): 291–302. http://dx.doi.org/10.1177/0734016813476515.

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Habib, Maurizio Michael, und Livio Stracca. „Is There a Global Safe Haven?“ International Finance 18, Nr. 3 (Dezember 2015): 281–98. http://dx.doi.org/10.1111/infi.12078.

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TODD, JOAN FERLO. „When bed isnʼt a safe haven“. Nursing 32, Nr. 12 (Dezember 2002): 82. http://dx.doi.org/10.1097/00152193-200212000-00059.

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Funk, Michael A. „A safe haven for the small“. Science 360, Nr. 6387 (26.04.2018): 394.7–395. http://dx.doi.org/10.1126/science.360.6387.394-g.

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Critelli, Filomena M., und Jennifer Willett. „Creating a safe haven in Pakistan“. International Social Work 53, Nr. 3 (Mai 2010): 407–22. http://dx.doi.org/10.1177/0020872809359868.

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Annotation:

A case study of a women’s shelter in Pakistan is described, using in-depth interviews with the founders and staff. This article examines how a shelter program based on a human rights framework operates in the Pakistani cultural context. Findings demonstrate the considerable challenges faced by the organization, especially in reintegrating women back into society, as well as growing acceptance of shelter programs and women’s right to make life choices as a result of the organization’s work.

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