{"id":15897,"date":"2026-07-13T15:00:55","date_gmt":"2026-07-13T06:00:55","guid":{"rendered":"https:\/\/www.waseda.jp\/fcom\/soc\/?p=15897"},"modified":"2026-07-13T16:11:22","modified_gmt":"2026-07-13T07:11:22","slug":"2022%e5%b9%b47%e6%9c%88-%e7%94%a3%e6%a5%ad%e7%b5%8c%e5%96%b6%e7%a0%94%e7%a9%b6%e6%89%80%e3%82%a4%e3%83%99%e3%83%b3%e3%83%88%e3%81%ae%e3%81%8a%e7%9f%a5%e3%82%89%e3%81%9b-2-2-3-3","status":"publish","type":"post","link":"https:\/\/www.waseda.jp\/fcom\/soc\/news\/15897","title":{"rendered":"2026\u5e74\u5ea6 \u7523\u696d\u7d4c\u55b6\u7814\u7a76\u6240\u30a4\u30d9\u30f3\u30c8\u306e\u304a\u77e5\u3089\u305b"},"content":{"rendered":"

\u4ee5\u4e0b\u306e\u3068\u304a\u308a\u3001\u7523\u696d\u7d4c\u55b6\u7814\u7a76\u6240\u306e\u30a4\u30d9\u30f3\u30c8\u3092\u958b\u50ac\u3057\u307e\u3059\u3002<\/p>\n

\u3010\u7523\u7814\u8b1b\u6f14\u4f1a\u3011<\/p>\n

\u25ce2026\u5e747\u670813\u65e5(\u6708) \u8b1b\u6f14\u4f1a\uff08\u8a73\u7d30\u306f\u3053\u3061\u3089<\/a>\uff09<\/p>\n

\n\n\n\n\n\n\n
\u30c6\u30fc\u30de<\/td>\nWaseda Organizational and Financial Economics Seminar<\/p>\n

Single-Crossing Average Contracts and the Direction of Risk-Taking<\/td>\n<\/tr>\n

\u8b1b\u6f14\u8005<\/td>\n\u5ddd\u4e0a\u3000\u572d \u6c0f\uff08\u9752\u5c71\u5b66\u9662\u5927\u5b66 \u7d4c\u6e08\u5b66\u90e8 \u51c6\u6559\u6388\uff09<\/td>\n<\/tr>\n
\u6982\u8981<\/td>\n\n

This paper studies how contracts affect risk-taking under expected utility. We identify a class of contracts — single-crossing average (SCA) contracts — for which a simple local condition on the average slope determines the direction of risk-taking for all risk-averse agents. Contracts that amplify losses more than gains discourage risk-taking, while those that attenuate losses encourage it. The result does not rely on global concavity of the contract and accommodates general nonlinear transformations. SCA contracts are closed under composition, so their effects on risk-taking are preserved under layering. We also propose a local riskiness index that provides a complete ordering of contracts and admits a natural interpretation alongside the Arrow–Pratt measure of risk aversion.<\/span><\/p>\n<\/td>\n<\/tr>\n

\u5bfe\u8c61<\/td>\n\u5b66\u751f\u30fb\u6559\u8077\u54e1\u30fb\u4e00\u822c<\/td>\n<\/tr>\n
\u4e16\u8a71\u4eba<\/td>\n\u8c37\u5ddd \u3000\u5be7\u5f66\uff08\u65e9\u7a32\u7530\u5927\u5b66\u5546\u5b66\u5b66\u8853\u9662 \u6559\u6388\uff09<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n

\u25ce2026\u5e747\u670817\u65e5(\u91d1) \u8b1b\u6f14\u4f1a\uff08\u8a73\u7d30\u306f\u3053\u3061\u3089<\/a>\uff09<\/p>\n

\n\n\n\n\n\n\n
\u30c6\u30fc\u30de<\/td>\nFocal-Point Replacement under a Non-Binding Disclosure Recommendation \u3000 (\u82f1\u8a9e\u3067\u306e\u3054\u5831\u544a)<\/td>\n<\/tr>\n
\u8b1b\u6f14\u8005<\/td>\n\u85e4\u8c37\u3000\u6dbc\u4f51 \u6c0f\uff08\u4e00\u6a4b\u5927\u5b66\u5927\u5b66\u9662 \u7d4c\u55b6\u7ba1\u7406\u7814\u7a76\u79d1 \u8b1b\u5e2b\uff09<\/td>\n<\/tr>\n
\u6982\u8981<\/td>\nHow does a soft-law disclosure recommendation carrying no statutory penalty reshape corporate disclosure behavior? I study Japan\u2019s 45-Day Rule, a 2006 Tokyo Stock Exchange recommendation enforced only by a comply-or-explain provision above 50 days. The rule operates through a compound revelation-coordination mechanism. The regulator\u2019s announcement reveals 45 days as the socially appropriate target, and firms condition their behavior on this named threshold as a self-fulfilling coordination point. After the rule, the reporting-lag distribution undergoes a focal-point replacement. The pre-existing 50-day peak dissolves while a sharper peak emerges at exactly 45 days; bunching concentrates at the named threshold rather than at the 50-day comply-or0explain threshold; and firms that reach the target decelerate rather than continuing toward 30, consistent with a coordination target rather than a \u201cfaster-is-better\u201d norm. Adjustment is gradual, with a partial-adjustment half-life of approximately two years and a distinctive post-rule asymmetry around the named threshold (a pattern that reverses in the pre-rule placebo); cross-sectional heterogeneity points to resource slack (firm size, cash holdings) as the dominant moderator of adjustment speed.<\/td>\n<\/tr>\n
\u5bfe\u8c61<\/td>\n\u5b66\u751f\u30fb\u6559\u8077\u54e1\u30fb\u4e00\u822c<\/td>\n<\/tr>\n
\u4e16\u8a71\u4eba<\/td>\n\u6cb3\u5185\u5c71\u3000\u62d3\u78e8\uff08\u65e9\u7a32\u7530\u5927\u5b66\u5546\u5b66\u5b66\u8853\u9662 \u51c6\u6559\u6388\uff09<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n

\u25ce2026\u5e747\u670820\u65e5(\u6708) \u8b1b\u6f14\u4f1a\uff08\u8a73\u7d30\u306f\u3053\u3061\u3089<\/a>\uff09<\/p>\n

\n\n\n\n\n\n
\u30c6\u30fc\u30de<\/td>\n\u3010\u30c6\u30fc\u30de\u5909\u66f4\u3011<\/span><\/span><\/p>\n

Waseda Organizational and Financial Economics Seminar<\/p>\n

How do investor complaints change the market for fund management services?<\/span><\/span><\/td>\n<\/tr>\n

\u8b1b\u6f14\u8005<\/td>\nAneel Keswani \u6c0f\uff08Professor, Bayes Business School, City University\uff09<\/td>\n<\/tr>\n
\u5bfe\u8c61<\/td>\n\u5b66\u751f\u30fb\u6559\u8077\u54e1\u30fb\u4e00\u822c<\/td>\n<\/tr>\n
\u4e16\u8a71\u4eba<\/td>\n\u8c37\u5ddd \u3000\u5be7\u5f66\uff08\u65e9\u7a32\u7530\u5927\u5b66\u5546\u5b66\u5b66\u8853\u9662 \u6559\u6388\uff09<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n

\u25ce2026\u5e747\u670822\u65e5(\u6c34) \u8b1b\u6f14\u4f1a\uff08\u8a73\u7d30\u306f\u3053\u3061\u3089<\/a>\uff09<\/p>\n

\n\n\n\n\n\n\n
\u30c6\u30fc\u30de<\/td>\nMandatory vs voluntary disclosure in the dynamic market for lemons.<\/td>\n<\/tr>\n
\u8b1b\u6f14\u8005<\/td>\nCyrus Aghamolla \u6c0f\uff08Rice University, Jones Graduate School of Business, Associate Professor of Accounting\uff09<\/td>\n<\/tr>\n
\u6982\u8981<\/td>\nWe consider a dynamic adverse selection setting where a privately informed seller\u00a0can choose to reveal or withhold past trade information to privately informed buyers.\u00a0Buyers naturally receive less information when the seller can strategically withhold\u00a0negative news relative to a setting where current buyers always observe the seller’s\u00a0history of trade, i.e., mandatory disclosure. Despite the informational disadvantage,\u00a0we find that strategic disclosure by the seller can be welfare-increasing relative to<\/p>\n

mandatory disclosure, under which past trade is always disclosed. This occurs because voluntary disclosure attenuates the seller’s incentive to engage in destructive\u00a0signaling and can lead to more efficient trade.<\/p>\n

Our model of repeated trade has applications to financial markets, particularly\u00a0over-the-counter markets. Various OTC markets have been subject to increased\u00a0post-trade transparency regulations in recent years, including a number of debt\u00a0securities markets through TRACE, the European bond market through MiFID II,\u00a0and the municipal bond market through MSRB Rule G-14. The empirical literature\u00a0examining the impacts of these regulations has been mixed, with studies generally\u00a0documenting both positive and negative effects of increased transparency depending\u00a0on factors such as liquidity or yield of the asset. Our setting sheds light on possible\u00a0improvements to transparency regulations, where permitting voluntary disclosure of\u00a0past trade for certain asset types can improve trade frequency and welfare. In particular,\u00a0when interpreting parameters of our model in the context of the OTC bond market,\u00a0our results imply that voluntary disclosure can be advantageous relative to mandatory disclosure when adverse selection frictions are not too severe for high- and\u00a0low-inventory cost bonds.<\/span><\/td>\n<\/tr>\n

\u5bfe\u8c61<\/td>\n\u5b66\u751f\u30fb\u6559\u8077\u54e1\u30fb\u4e00\u822c<\/td>\n<\/tr>\n
\u4e16\u8a71\u4eba<\/td>\n\u82e5\u6797\u3000\u5229\u660e\uff08\u65e9\u7a32\u7530\u5927\u5b66\u5546\u5b66\u5b66\u8853\u9662 \u51c6\u6559\u6388\uff09<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n

\u25ce2026\u5e747\u670825\u65e5(\u571f) \u8b1b\u6f14\u4f1a\uff08\u8a73\u7d30\u306f\u3053\u3061\u3089<\/a>\uff09\u203b\u53f0\u98a8\u306e\u5f71\u97ff\u306b\u3088\u308a\u5ef6\u671f\u306b\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\n

\n\n\n\n\n\n
\u30c6\u30fc\u30de<\/td>\n\u3010\u5ef6\u671f\u3011\u5730\u57df\u4f01\u696d\u306e\u56fd\u969b\u5c55\u958b\uff1a\u30ed\u30fc\u30ab\u30eb\u00d7\u30b0\u30ed\u30fc\u30d0\u30eb\u306e\u30c0\u30a4\u30ca\u30df\u30ba\u30e0<\/td>\n<\/tr>\n
\u8b1b\u6f14\u8005<\/td>\n\u7af9\u4e4b\u5185\u3000\u79c0\u884c \u6c0f\uff08\u4e0a\u667a\u5927\u5b66\u3000\u6559\u6388\uff09<\/p>\n

\u300c\u9769\u65b0\u3078\u306e\u3053\u3060\u308f\u308a\u304c\u4e16\u754c\u306e\u5148\u99c6\u8005\u3078\u3000\u30ed\u30fc\u30c1\u30a7\u300d<\/p>\n

\u5c71\u672c\u3000\u5d07\u96c4 \u6c0f\uff08\u795e\u5948\u5ddd\u5927\u5b66\u3000\u6559\u6388\uff09<\/p>\n

\u300c\u4e16\u754c\u306e\u793e\u4f1a\u554f\u984c\u3092\u30d3\u30b8\u30cd\u30b9\u3067\u89e3\u6c7a\u3059\u308b\u3000\u30dc\u30fc\u30c0\u30ec\u30b9\u30fb\u30b8\u30e3\u30d1\u30f3\u300d<\/p>\n

\u7af9\u4e4b\u5185\u3000\u73b2\u5b50 \u6c0f\uff08\u6210\u57ce\u5927\u5b66\u3000\u6559\u6388\uff09<\/p>\n

\u300c\u30b9\u30d4\u30f3\u30a2\u30a6\u30c8\u3068\u9023\u643a\u304c\u751f\u3080\u56fd\u969b\u7684\u306a\u7af6\u4e89\u529b\u3000\u591a\u6469\u5ddd\u7cbe\u6a5f\u300d<\/p>\n

\u6e05\u6c34\u3000\u3055\u3086\u308a \u6c0f\uff08\u9ad8\u5d0e\u7d4c\u6e08\u5927\u5b66\u3000\u6559\u6388\uff09
\n\u300c\u4f1d\u7d71\u3092\u57fa\u790e\u306b\u9769\u65b0\u3057\u3001\u4e16\u754c\u3078\u7fbd\u3070\u305f\u304f\u3000\u30b7\u30ca\u30ce\u30b1\u30f3\u30b7\u300d<\/td>\n<\/tr>\n

\u5bfe\u8c61<\/td>\n\u5b66\u751f\u30fb\u6559\u8077\u54e1\u30fb\u4e00\u822c<\/td>\n<\/tr>\n
\u4e16\u8a71\u4eba<\/td>\n\u6a2a\u7530\u3000\u4e00\u5f66\uff08\u65e9\u7a32\u7530\u5927\u5b66\u5546\u5b66\u5b66\u8853\u9662 \u6559\u6388\uff09<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n

\u25ce2026\u5e747\u670825\u65e5(\u571f) \u30fb26\u65e5(\u65e5\uff09\u7523\u7814\u5171\u50ac\u56fd\u969b\u5171\u540c\u7814\u7a76\u96c6\u4f1a\uff08\u8a73\u7d30\u306f\u3053\u3061\u3089<\/a>\uff09<\/p>\n

\n\n\n\n\n\n\n
\u30c6\u30fc\u30de<\/td>\n2026 Waseda\u00a0Summer Workshop in Finance<\/td>\n<\/tr>\n
\u8b1b\u6f14\u8005<\/td>\n\uff17\u6708\uff12\uff15\u65e5\uff08\u571f\uff09<\/u><\/p>\n

\u30fbWang Jingru\u3000\uff08Waseda\u00a0University)<\/p>\n

\u300cSentiment-Driven IPO Mispricing Even in Almost Perfect Markets:<\/p>\n

Experimental Evidence\u300d<\/p>\n

\u30fbPham Thi\u00a0Quynh Lien\u3000(Waseda\u00a0University)<\/p>\n

\u300cTrade Network Position and Home-Currency Invoicing\u300d<\/p>\n

\u30fbAbel Gonzales-Hishinuma \u3000(HEC Paris)<\/p>\n

\u300cThe Cross-Section of Nonprofit Financing\u300d<\/p>\n

\u30fbTaisei Noda\u3000(NUCB)<\/p>\n

\u300c\u00a0Weighting for Performance\u300d<\/p>\n

\u30fbWon-chang Choi\u3000(Yonsei University)<\/p>\n

\u300cTransaction Costs and Endogenously Slow-Moving Arbitrage Capital\u300d<\/p>\n

\u30fbAdem Atmaz\u3000(Purdue University)<\/p>\n

\u300c\u00a0Belief Distortions and Endogenous Risk Aversion\u300d<\/p>\n

\u30fbDiego Garcia\u3000(University of Colorado Boulder)<\/p>\n

\u300cShades of Attention and Stock Price Dynamics\u300d<\/p>\n

\u30fbHengjie\u00a0Ai\u3000(University of Wisconsin\u2013Madison)<\/p>\n

\u300cUsing Asset Prices to Measure the Long-run Impact of Monetary Policy\u300d<\/p>\n

\u30fbMotohiro\u00a0Yogo\u3000(Princeton University)<\/p>\n

\u300cAsset Embeddings\u300d<\/p>\n

 <\/p>\n

\uff17\u6708\uff12\uff16\u65e5\uff08\u65e5\uff09<\/u><\/p>\n

\u30fbHarrison Hong\u3000(Columbia University)<\/p>\n

\u300c\u30bf\u30a4\u30c8\u30eb\u672a\u5b9a\u300d<\/p>\n

\u30fbStephen Dimmock\u3000(National University of Singapore)<\/p>\n

\u300c\u00a0Misconduct by Insurance Agents\u300d<\/p>\n

\u30fbJunnosuke\u00a0Shino\u3000(Waseda\u00a0University)<\/p>\n

\u300cNonlinearities in Passive Demand Shocks:<\/p>\n

An Explainable AI Approach to the Bank of Japan\u2019s ETF Purchases\u300d<\/p>\n

\u30fbThomas Ernst\u3000(University of Maryland)<\/p>\n

\u300c\u00a0Direct Indexing and the Limits of ETF Tax Efficiency\u300d<\/p>\n

\u30fbSophie Moinas\u3000(Toulouse School of Economics)<\/p>\n

\u300cAsset Pricing and Risk Sharing in Electricity Futures Markets\u300d<\/p>\n

\u30fbNichole Garleanu\u3000(Washington University in St. Louis)<\/p>\n

\u300cClimate Risk Pricing\u300d<\/td>\n<\/tr>\n

\u6982\u8981<\/td>\n\u672c\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\u306f\u00a02023\u5e74\u4ee5\u6765\u3001\uff14\u56de\u76ee\u306e\u958b\u50ac\u3068\u306a\u308b\u3002\u30d5\u30a1\u30a4\u30ca\u30f3\u30b9\u5206\u91ce\u306e\u4e00\u7dda\u3067\u6d3b\u8e8d\u3059\u308b\u7814\u7a76\u8005\u306e\u5831\u544a\u3001\u307e\u305f\u3001\u4ea4\u6d41\u3092\u901a\u3058\u3066\u3001\u65e5\u672c\u306b\u304a\u3051\u308b\u30d5\u30a1\u30a4\u30ca\u30f3\u30b9\u5206\u91ce\u306e\u7814\u7a76\u304c\u5c11\u3057\u3067\u3082\u56fd\u969b\u7684\u306a\u6c34\u6e96\u306b\u8fd1\u3065\u304f\u3053\u3068\u3092\u76ee\u6a19\u3068\u3057\u3066\u3044\u308b\u3002\u307e\u305f\u3001\u3053\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\u3092\u901a\u3058\u3066\u3001\u65e9\u7a32\u7530\u5927\u5b66\u5546\u5b66\u5b66\u8853\u9662\u304c\u305d\u308c\u306b\u5bfe\u3057\u3066\u4e2d\u5fc3\u7684\u306a\u5f79\u5272\u3092\u62c5\u3046\u3053\u3068\u306b\u306a\u308b\u3002<\/span><\/td>\n<\/tr>\n
\u5bfe\u8c61<\/td>\n\u5b66\u751f\u30fb\u6559\u8077\u54e1\u30fb\u4e00\u822c<\/td>\n<\/tr>\n
\u4e16\u8a71\u4eba<\/td>\n\u7247\u6850\u3000\u6e80\uff08\u65e9\u7a32\u7530\u5927\u5b66\u5546\u5b66\u5b66\u8853\u9662 \u6559\u6388\uff09<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n

\u25ce2026\u5e747\u670825\u65e5(\u571f) \u8b1b\u6f14\u4f1a\uff08\u8a73\u7d30\u306f\u3053\u3061\u3089<\/a>\uff09<\/p>\n

\n\n\n\n\n\n
\u30c6\u30fc\u30de<\/td>\n\u7b2c\uff12\u56de\u65e5\u53f0\u4fdd\u967a\u6cd5\u30d5\u30a9\u30fc\u30e9\u30e0<\/td>\n<\/tr>\n
\u8b1b\u6f14\u8005<\/td>\n\u30fbChi-Chou Yeh\u6c0f\uff08\u56fd\u7acb\u653f\u6cbb\u5927\u5b66\u6cd5\u5b66\u9662 \u526f\u9662\u9577\u3001\u6cd5\u5f8b\u79d1\u6280\u6574\u5408\u7814\u7a76\u6240 \u6240\u9577\uff09
\n\u300cReform of the ‘All-or-Nothing’ Principle in Insurance Law\u300d\u30fb\u5c0f\u6797\u3000\u4e00\u90ce \u6c0f\uff08\u4e00\u6a4b\u5927\u5b66\u5927\u5b66\u9662\u6cd5\u5b66\u7814\u7a76\u79d1 \u6559\u6388\uff09
\n\u300cExperimental Underwriting in the U.S. Surplus Lines Market:From Cyber Insurance to Generative AI Coverage and Its Implicationsfor Japanese Insurance Regulation\u300d\u30fbWallace Hsin-Chun Wang \u6c0f\uff08\u56fd\u7acb\u653f\u6cbb\u5927\u5b66\u6cd5\u5b66\u54e1\u30ea\u30b9\u30af\u7ba1\u7406\u30fb\u4fdd\u967a\u5b66\u79d1 \u6559\u6388\uff09
\n\u300cGovernance of Artificial Intelligence in the Insurance Sector:Risks and Challenges\u300d<\/p>\n

\u30fbKuo-Bin Lin\u6c0f\uff08\u56fd\u7acb\u653f\u6cbb\u5927\u5b66\u6cd5\u5b66\u54e1\u30ea\u30b9\u30af\u7ba1\u7406\u30fb\u4fdd\u967a\u5b66\u79d1 \u6559\u6388\uff09
\n\u300cApplying Liquidation Trust in Insurance Insolvency Cases<\/p>\n

to Protect Policyholders\u300d<\/p>\n

\u30fbDavide Luigi Totaro \u6c0f\uff08\u4e00\u6a4b\u5927\u5b66\u793e\u4f1a\u79d1\u5b66\u9ad8\u7b49\u7814\u7a76\u9662 \u8b1b\u5e2b\uff09
\n\u300cAI Governance of Insurance Services in the EU and Japan:<\/p>\n

Seeking Compliance Interoperability Between Shared Principles<\/p>\n

and Diverging Approaches\u300d<\/p>\n

\u30fbJohnny Kuan\uff0dChun Chang \u6c0f\uff08CTBC Business School\uff09
\n\u300cFrom Human Error to Machine Judgment:<\/p>\n

Rethinking Medical Liability Insurance in AI-Driven Diagnosis and Treatment\u300d<\/p>\n

\u30fb\u5c71\u4e0b\u3000\u5fb9\u54c9 \u6c0f\uff08\u4eac\u90fd\u5927\u5b66\u5927\u5b66\u9662\u6cd5\u5b66\u7814\u7a76\u79d1 \u6559\u6388\uff09
\n\u300cIncentives, Liability, and Insurance under Japan\u2019s Agile Governance Model<\/p>\n

for Society 5.0\u300d<\/p>\n

\u30fbYao-Feng Tseng\u6c0f\uff08\u56fd\u7acb\u53f0\u4e2d\u79d1\u6280\u5927\u5b66\u5546\u5b66\u9662 \u526f\u6559\u6388\u517c\u526f\u9662\u9577\uff09
\n\u300cThe Legal Characterization of Parametric Agricultural Insurance:<\/p>\n

A Taiwan-Japan Comparative Study\u300d<\/td>\n<\/tr>\n

\u5bfe\u8c61<\/td>\n\u5b66\u751f\u30fb\u6559\u8077\u54e1\u30fb\u4e00\u822c<\/td>\n<\/tr>\n
\u4e16\u8a71\u4eba<\/td>\n\u4e2d\u51fa\u3000\u54f2\uff08\u65e9\u7a32\u7530\u5927\u5b66\u5546\u5b66\u5b66\u8853\u9662 \u6559\u6388\uff09<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n

\u3010\u7523\u7814\u30d5\u30a9\u30fc\u30e9\u30e0\u3011<\/p>\n

2026\u5e741\u670819\u65e5\uff08\u6708\uff09\u7b2c46\u56de\u7523\u7814\u30d5\u30a9\u30fc\u30e9\u30e0\u300c\u65e5\u672c\u306b\u304a\u3051\u308bPR\uff08\u30d1\u30d6\u30ea\u30c3\u30af\u30ea\u30ec\u30fc\u30b7\u30e7\u30f3\u30ba\uff09\u306e\u6b74\u53f2\u3068\u4eca\u5f8c\u306e\u5c55\u671b\u300d<\/a>\u304c\u958b\u50ac\u3055\u308c\u307e\u3057\u305f\u3002<\/p>\n

\u3010\u305d\u306e\u4ed6\u30a4\u30d9\u30f3\u30c8\u3011<\/p>\n

2025\u5e747\u670822\u65e5\uff08\u706b\uff09\u65e9\u7a32\u7530\u5927\u5b66\u7b2c28\u56de\u30d3\u30b8\u30cd\u30b9\u30d7\u30e9\u30f3\u30b3\u30f3\u30c6\u30b9\u30c8<\/a>\u304c\u958b\u50ac\u3055\u308c\u307e\u3057\u305f\u3002<\/p>\n

\u3010\u30a2\u30ab\u30c7\u30df\u30c3\u30af\u30fb\u30d5\u30a9\u30fc\u30e9\u30e0\u3011\uff082024\u5e74\u5ea6\uff09<\/p>\n

2025\u5e743\u670815\u65e5(\u571f) \u3000\u7b2c29\u56de\u7523\u7814\u30a2\u30ab\u30c7\u30df\u30c3\u30af\u30fb\u30d5\u30a9\u30fc\u30e9\u30e0\u300c\u7d4c\u55b6\u5b66\u7814\u7a76\u306e\u8ecc\u8de1\u3068\u5c55\u671b\u300d<\/a>\u304c\u958b\u50ac\u3055\u308c\u307e\u3057\u305f\u3002\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u65e9\u7a32\u7530\u5927\u5b66\u5546\u5b66\u5b66\u8853\u9662\u3000\u5742\u91ce\u53cb\u662d\u6559\u6388\u9000\u8077\u8a18\u5ff5<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

\u4ee5\u4e0b\u306e\u3068\u304a\u308a\u3001\u7523\u696d\u7d4c\u55b6\u7814\u7a76\u6240\u306e\u30a4\u30d9\u30f3\u30c8\u3092\u958b\u50ac\u3057\u307e\u3059\u3002 \u3010\u7523\u7814\u8b1b\u6f14\u4f1a\u3011 \u25ce2026\u5e747\u670813\u65e5(\u6708) \u8b1b\u6f14\u4f1a\uff08\u8a73\u7d30\u306f\u3053\u3061\u3089\uff09 \u30c6\u30fc\u30de Waseda Organizational and Financial Economic […]<\/p>\n","protected":false},"author":5,"featured_media":8322,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[100,1],"tags":[73,45],"class_list":["post-15897","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-en","category-news","tag-events-en","tag-events"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.waseda.jp\/fcom\/soc\/wp-json\/wp\/v2\/posts\/15897","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.waseda.jp\/fcom\/soc\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.waseda.jp\/fcom\/soc\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/fcom\/soc\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/fcom\/soc\/wp-json\/wp\/v2\/comments?post=15897"}],"version-history":[{"count":2,"href":"https:\/\/www.waseda.jp\/fcom\/soc\/wp-json\/wp\/v2\/posts\/15897\/revisions"}],"predecessor-version":[{"id":16260,"href":"https:\/\/www.waseda.jp\/fcom\/soc\/wp-json\/wp\/v2\/posts\/15897\/revisions\/16260"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/fcom\/soc\/wp-json\/wp\/v2\/media\/8322"}],"wp:attachment":[{"href":"https:\/\/www.waseda.jp\/fcom\/soc\/wp-json\/wp\/v2\/media?parent=15897"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.waseda.jp\/fcom\/soc\/wp-json\/wp\/v2\/categories?post=15897"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.waseda.jp\/fcom\/soc\/wp-json\/wp\/v2\/tags?post=15897"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}